Top 10 Data Analyst Intern Resume Examples

Carmen Hutchinson
(775) 555-XXXX
carmen.hutchinson@example.com
carmenhutchinson
Reno, NV 89501
SUMMARY
Industrial engineering student and emerging talent research analyst with academic experience in data-driven sourcing and structured candidate evaluation. Translate technical job requirements into searchable criteria, use LinkedIn and Boolean search to review profiles, and verify qualifications against available evidence. Organize research data in Google Sheets and Excel, with Python and SQL supporting data cleaning and review. Present findings in clear written and spoken English, and apply sourcing methods independently to unfamiliar questions. Currently completing a bachelor’s degree in industrial engineering and available for a remote, part-time commitment of at least two years.
EDUCATION
Bachelor of Science in Industrial Engineering
2026
University of Nevada, Reno
Reno, NV
TECHNICAL SKILLS
Spreadsheets: Google Sheets, Microsoft Excel, LibreOffice Calc
Programming Languages: Python, SQL, R
Python Data Libraries: pandas, NumPy, Matplotlib
Python Development Tools: Jupyter Notebook, Google Colab, Visual Studio Code
SQL Platforms: SQLite, PostgreSQL, MySQL
Spreadsheet Features: PivotTables, Data Validation, Power Query
Recruiting Platforms: LinkedIn Recruiter, LinkedIn, Indeed
Search Technologies: Google Search, Bing, Google Alerts
Data Visualization Tools: Tableau, Microsoft Power BI, Looker Studio
Data File Formats: CSV, JSON, Microsoft Excel Open XML
SKILLS
Talent sourcing research
Job requirements analysis
Keyword identification
Boolean search
LinkedIn research
Candidate profile review
Qualification verification
Candidate data analysis
Sourcing methodology
Independent research
Analytical thinking
Attention to detail
Written English
Spoken English
Rapid learning
EXPERIENCE
Talent Sourcing Research Practicum
Sep 2026 - Present
University Project
Reno, NV
Converted 12 instructor-provided technical job descriptions into role criteria and searchable keywords, documenting which requirements were essential and which were preferred.
Used LinkedIn research and a LinkedIn Recruiter training workspace to build Boolean searches and review 60 sample candidate profiles against engineering role requirements.
Questioned unclear profile details and compared evidence with stated qualifications, recording whether each sample profile appeared genuinely qualified or needed further verification.
Built a Google Sheets tracking workbook with consistent fields, data validation, status notes, and summary views, then cross-checked the results in Microsoft Excel.
Documented a repeatable sourcing methodology and applied it independently to unfamiliar research prompts; presented findings in a written memo and an English-language class presentation.
Candidate Data Analysis Course Project
Jan 2026 - May 2026
University Project
Reno, NV
Organized a simulated dataset of 1,200 engineering candidate records, standardizing education, experience, and skills fields in Python before analysis.
Used SQL queries to identify incomplete or conflicting entries and produced a review queue that made follow-up checks easier to prioritize.
Summarized candidate-pool patterns in Google Sheets and Excel, using filters and pivot tables to compare qualifications with sample technical role criteria.
Explained data limitations and recommendations in a concise report and presentation, practicing clear written and spoken English for a nontechnical audience.
Industrial Engineering Student Research Project
Sep 2025 - Dec 2025
University Research Lab
Reno, NV
Coded and reviewed a faculty-supervised sample of 240 public professional profiles to explore how consistently technical skills were presented across candidate records.
Created a checklist for validating profile details against source information and flagged ambiguous entries rather than treating unsupported claims as confirmed qualifications.
Applied basic descriptive analysis in Excel and shared observations with the lab group, strengthening attention to detail, curiosity, and structured problem solving.
LEADERSHIP, AWARDS & RECOGNITION
College of Engineering Dean’s List, Fall 2025 and Spring 2026.
Undergraduate Research Poster Session student presentation finalist, 2026.
Peer facilitator, Industrial Engineering Study Group, 2025-2026; led weekly review sessions and shared course resources.
Outreach volunteer, Industrial Engineering Student Association, 2025-2026; coordinated student questions and helped welcome prospective students.
CERTIFICATIONS
Google Data Analytics Professional Certificate
2026
SQL for Data Science, Coursera
2026
Boolean Search for Talent Sourcing, LinkedIn Learning
2026
PROFESSIONAL AFFILIATIONS
Student member, Institute of Industrial and Systems Engineers (IISE), engaging with an organized community focused on industrial engineering.
Student member, Society of Women Engineers (SWE), participating in a professional community for engineering students.

Cash Ponce
(608) 555-XXXX
cash.ponce@example.com
cashponce
Madison, WI 53703
SUMMARY
Data Science student pursuing a B.Tech. with project experience in data analysis, preparation, visualization, and applied machine learning. Use Python, SQL, and R to prepare reliable datasets, explore patterns, and assess predictive models. Build dashboards in Microsoft Fabric, Tableau, and Power BI, then explain findings to technical and nontechnical audiences. Collaborate with faculty mentors and classmates on data quality, governance, and research, documenting methods and model performance so results can be reviewed and reused. Expected to complete the degree in 2027, with coursework and hands-on projects focused on evidence-based analysis and practical AI/ML applications.
EDUCATION
B.Tech. in Data Science
2027
Great Lakes Institute of Technology
Milwaukee, WI
TECHNICAL SKILLS
Programming Languages: Python, R, SQL
Data Platforms: Microsoft Fabric, Azure Data Factory, Databricks
Visualization Tools: Power BI, Tableau, Matplotlib
Python Data Libraries: pandas, NumPy, scikit-learn
Statistical Software: SciPy, statsmodels, Jupyter
Relational Databases: PostgreSQL, Microsoft SQL Server, MySQL
Cloud Services: Microsoft Azure, Azure Data Lake Storage, Azure Synapse Analytics
Machine Learning Libraries: TensorFlow, PyTorch, XGBoost
Development Environments: Visual Studio Code, JupyterLab, RStudio
Data File Formats: CSV, JSON, Parquet
SKILLS
Data integration
Data cleaning
Statistical analysis
Machine learning
Predictive insights
Data visualization
Data validation
Data quality
Data governance
Data stewardship
Data integrity
AI tools
Model evaluation
Technical communication
Cross functional teamwork
EXPERIENCE
Data Analyst Intern, Microsoft Fabric Analytics Capstone
Aug 2026 - Present
University Project
Madison, WI
Integrated sample sales and operations datasets in Microsoft Fabric, using SQL and Python to clean, transform, and reconcile records for analysis and model-training exercises.
Applied validation checks for missing values, duplicate records, and inconsistent categories, documenting data quality findings and steps that improved dataset reliability for the project team.
Worked with a faculty mentor acting as a data steward to draft data governance policies, standards, and procedures covering data definitions, access, quality, and integrity across analytics and AI/ML workflows.
Built an interactive Power BI dashboard from curated data and presented concise findings to classmates, translating analytical results for both technical and nontechnical audiences.
Coordinated with classmates and a faculty data steward to define sales and operations measures for a shared dashboard, resolving conflicting field definitions in SQL and documenting choices for evidence-based decisions.
Data Analyst Intern, Applied Machine Learning Research Project
Jan 2026 - May 2026
Academic Research
Madison, WI
Analyzed a public transportation dataset with Python, R, and statistical methods to identify ridership patterns and create predictive insights for a course research question.
Contributed to the development and testing of machine learning models and AI algorithms, comparing performance with held-out data and recording model limitations before recommending a suitable approach.
Evaluated AI tools for exploratory analysis and insight drafting, checking generated observations against source data before including them in a research presentation.
Documented data preparation, analytical methodologies, model performance, and research findings, then presented results and answered questions from a mixed technical and nontechnical audience.
Data Analyst Intern, Data Quality and Visualization Course Project
Sep 2025 - Dec 2025
University Project
Madison, WI
Prepared a public health dataset for classroom analysis by joining source tables with SQL and using Python and R to clean fields and standardize categories.
Created Tableau and Power BI visualizations to communicate trends clearly, checking calculations and chart labels against the underlying data before presenting the results.
Researched emerging data technologies and analytics best practices for a team project, summarizing relevant findings and maintaining shared documentation for reproducibility.
LEADERSHIP, AWARDS & RECOGNITION
Data Science Peer Study Group student coordinator, 2025-2026: organized review sessions and shared practice materials for introductory Python and statistics coursework.
Department Project Showcase finalist, 2026, for the applied machine learning research presentation.
Dean's List, Great Lakes Institute of Technology, Fall 2025 and Spring 2026.
CERTIFICATIONS
Microsoft Learn: Get Started with Microsoft Fabric
2026
Python for Data Science, AI & Development, IBM via Coursera
2025
PROFESSIONAL AFFILIATIONS
Student member, Association for Computing Machinery (ACM), participating in its organized computing community.
Student member, Institute for Operations Research and the Management Sciences (INFORMS), engaging with an organized analytics and operations research community.
LANGUAGES
English (Proficient)
Spanish (Beginner)

Matias Cruz
(517) 555-XXXX
matias.cruz@example.com
matiascruz
Lansing, MI 48912
SUMMARY
Junior Data Analytics student with a 3.72 GPA and academic project experience in health and human services reporting. Apply statistics, research methods, SQL, and Excel to clean and validate datasets, then translate findings into Power BI dashboards, charts, and concise reports for nontechnical audiences. Recent projects examine behavioral health, child welfare, child support, social services, and family support, with attention to data quality, program reporting, performance metrics, and KPIs. Present findings through written documentation and student forums, and coordinate project milestones with classmates while tracking competing tasks. Proficient in Microsoft Word, Excel, and PowerPoint, with practice working independently under faculty guidance and checking data carefully before sharing results.
EDUCATION
Bachelor of Science
2027
Mid-Michigan University
GPA: 3.72
Lansing, MI
Coursework: Data analysis, statistics, research methods, health and human services reporting
TECHNICAL SKILLS
Microsoft Office: Microsoft Excel, Microsoft Word, Microsoft PowerPoint
Data Visualization: Microsoft Power BI, Tableau, Microsoft Excel Charts
Query Languages: SQL, PostgreSQL SQL, MySQL SQL
Spreadsheet Functions: VLOOKUP, XLOOKUP, PivotTables
Data Formats: CSV, Microsoft Excel XLSX, JSON
Relational Databases: Microsoft SQL Server, PostgreSQL, MySQL
Statistical Software: R, RStudio, IBM SPSS Statistics
Programming Languages: Python, R, SQL
Data Libraries: pandas, NumPy, Matplotlib
Computer Equipment: Personal computer, Keyboard, Mouse
SKILLS
Data analysis
Statistics
Research methods
Data cleaning
Data validation
Data quality review
SQL querying
Relational data joins
Dashboard reporting
Data visualization
Program reporting
Performance metrics
Human services data
Public speaking
Time management
EXPERIENCE
Human Services Data Reporting Project
Jan 2026 - Present
Mid-Michigan University
Lansing, MI
Built a Power BI dashboard for a course project using synthetic behavioral health and family support records, presenting service volume, referral status, and follow-up trends in a format suitable for non-technical program audiences.
Queried and joined relational tables with SQL SELECT statements, filtering, and aggregation; documented how records, keys, and data flowed between source tables and reporting views.
Cleaned and validated an 18,000-row dataset by checking missing values, duplicate keys, inconsistent categories, and outliers, then flagged issues and recorded decisions for review by the faculty project advisor.
Summarized program quality findings and KPI definitions in a written briefing, then presented the results during a student health and human services forum.
Social Services Data Quality Course Project
Sep 2025 - Dec 2025
Mid-Michigan University
Lansing, MI
Analyzed a child welfare and child support case-study dataset using Excel, applying pivot tables, VLOOKUP, XLOOKUP, and formula-based data cleaning to reconcile records and prepare accurate summaries.
Compared categories and reporting periods to identify trends, outliers, and data quality issues, documenting questions for follow-up rather than making unsupported assumptions.
Produced charts and a concise PowerPoint presentation explaining service patterns and family support activities to classmates without a technical background.
Research Methods and Program Reporting Project
Jan 2025 - May 2025
Mid-Michigan University
Lansing, MI
Conducted structured research on social services and family support activities, including behavioral health and child welfare program reporting, and organized findings into a clearly cited Word report.
Applied introductory statistics and research methods to a small, de-identified sample, checking calculations and translating results into accurate charts and written takeaways.
Coordinated project milestones with classmates, tracked tasks and deadlines, and delivered a short public presentation on research limitations and potential program metrics.
LEADERSHIP, AWARDS & RECOGNITION
Dean's List, Fall 2025 and Spring 2026.
Student Research Poster Recognition, Mid-Michigan University, 2026, for clear communication of a human services data quality project.
Coordinated a 2025 introductory statistics peer study group, arranging review sessions and shared notes for classmates.
Volunteered with Community Family Resource Outreach in 2025, helping prepare events and organize informational materials.
CERTIFICATIONS
Excel Skills for Business: Essentials, Coursera
2025
SQL for Data Science, Coursera
2026
PROFESSIONAL AFFILIATIONS
Student member, American Statistical Association, supporting continued learning in statistics and data analysis.
Student member, American Health Information Management Association, engaging with health information and reporting practices.

Reyna Melendez
(517) 555-XXXX
reyna.melendez@example.com
reynamelendez
Lansing, MI 48912
SUMMARY
Health Informatics junior with a 3.72 GPA and academic experience analyzing health and human services data. Use SQL and Excel to clean, validate, and summarize program datasets, then present findings through Power BI dashboards and clear charts. Research has examined behavioral health access and family support indicators, including child welfare and child support measures, with careful review of trends, outliers, and data quality. Prepare plain language reports and presentations for nontechnical audiences, and collaborate with faculty and student teams on research and community outreach.
EDUCATION
Bachelor of Science
2026
Great Lakes State University
GPA: 3.72
Lansing, MI
TECHNICAL SKILLS
Microsoft Office: Microsoft Word, Microsoft Excel, Microsoft PowerPoint
Data Visualization: Power BI, Tableau, Microsoft Excel Charts
Query Languages: SQL, T-SQL, PostgreSQL SQL
Relational Databases: Microsoft SQL Server, PostgreSQL, MySQL
Spreadsheet Functions: VLOOKUP, XLOOKUP, PivotTables
Data Formats: CSV, XLSX, JSON
Data Modeling Tools: Microsoft Visio, Lucidchart, draw.io
Web Browsers: Google Chrome, Microsoft Edge, Mozilla Firefox
Operating Systems: Windows 10, Windows 11, macOS
Presentation Tools: Microsoft PowerPoint, Google Slides, Microsoft Word
Statistical Software: R, RStudio, IBM SPSS Statistics
SKILLS
Data analysis
Statistics
Research methods
SQL querying
Relational joins
Excel pivot tables
VLOOKUP/XLOOKUP
Formula-based cleaning
Power BI dashboards
Data validation
KPI reporting
Program reporting
Trend and outlier review
Community outreach
Public speaking
EXPERIENCE
Health and Human Services Data Analyst, Academic Project
Jan 2026 - Oct 2026
University Project
Lansing, MI
Built a Power BI dashboard from de-identified, multi-table health and human services program data, using SQL SELECT queries, filters, aggregations, and joins to compare behavioral health access and child welfare service measures.
Used Excel pivot tables, VLOOKUP/XLOOKUP, and formula-based data cleaning to reconcile reporting fields, validate totals, and flag outliers and data-quality issues before presenting results.
Mapped rows, columns, keys, and tables across source files to document how records flowed between systems, giving classmates and faculty a traceable view of data limitations.
Presented charts, KPI summaries, and plain-language findings to a nontechnical audience at a university health and human services research event; documented follow-up questions and data caveats.
Health Informatics Research Assistant, Faculty-Supervised Project
Sep 2025 - May 2026
Academic Research
East Lansing, MI
Researched social services and family support activities, reviewing public reports on behavioral health, child support, and family-serving programs to inform a faculty-guided program reporting brief.
Cleaned and validated a complex public dataset, checked key fields and missing values, and recorded trends and unusual observations for faculty review rather than treating them as confirmed findings.
Prepared professional communications, research notes, and PowerPoint slides that translated analytic results into clear summaries for readers without technical backgrounds.
Organized multiple research tasks against course deadlines and presented methods and limitations during a student seminar, strengthening public speaking and time-management skills.
Researched data analytics and general business functions through public agency reports, organizing findings in a documented comparison brief for faculty review.
Data Analysis Student Project
Jan 2025 - May 2025
Course Project
Lansing, MI
Analyzed a public health dataset for a statistics and research methods course, applying descriptive analysis and data-cleaning checks to produce accurate tables and charts.
Used Excel and SQL practice queries to sort, filter, aggregate, and compare relational data, then explained the role of rows, columns, keys, and tables in a written project report.
Coordinated a small student team’s community outreach presentation, balancing parallel assignments and turning findings into an accessible handout and short oral briefing.
LEADERSHIP, AWARDS & RECOGNITION
Student coordinator, Health and Human Services Community Outreach Project, 2026; organized research tasks and co-presented practical family-support resources.
Peer study group facilitator, Health Informatics program, 2025-2026; helped classmates review statistics and research methods coursework.
Dean’s List, Great Lakes State University, 2025 and 2026.
Undergraduate Research Poster Recognition, Health and Human Services Student Forum, 2026.
CERTIFICATIONS
Microsoft Excel: Data Analysis and Visualization, Microsoft Learn
2025
Power BI Data Visualization Foundations, Coursera
2026
PROFESSIONAL AFFILIATIONS
Student member, American Health Information Management Association, 2026.
Student member, American Public Health Association, 2026.
LANGUAGES
English (Native)
Spanish (Intermediate)

Kabir Gupta
(414) 555-XXXX
kabir.gupta@example.com
kabirgupta
Milwaukee, WI 53211
SUMMARY
Business analytics student pursuing a B.S. in Business Analytics, with project experience in data management, ERP implementation, and database quality. Organizes and validates records, tracks ERP adoption, and guides users through practical workflows. Shares clear findings and process recommendations through reports and team presentations.
EDUCATION
Bachelor of Science in Business Analytics
2027
University of Wisconsin-Milwaukee
Milwaukee, WI
Coursework: Business analytics, statistics, database systems, process management
TECHNICAL SKILLS
Databases: PostgreSQL, SQLite, MySQL
Query Languages: SQL, PL/pgSQL, SQLite SQL
ERP Platforms: Odoo, SAP Business One, ERPNext
Spreadsheets: Microsoft Excel, Google Sheets, LibreOffice Calc
Data Visualization: Tableau, Microsoft Power BI, Looker Studio
Data Preparation: OpenRefine, Talend Open Studio, KNIME
Programming Languages: Python, R, JavaScript
Python Data Libraries: pandas, NumPy, openpyxl
Reporting Tools: Microsoft Access, Metabase, Apache Superset
File Formats: CSV, JSON, XML
SKILLS
Data management
ERP implementation
Database accuracy
Data integrity
Data analysis
Data migration
Duplicate detection
Archive systems
ERP adoption tracking
User training
Issue reporting
Process improvement
Internship reporting
Interpersonal communication
Teamwork
EXPERIENCE
Data Analyst Intern, ERP Implementation Practicum
Feb 2026 - Aug 2026
University-Sponsored Practicum
Milwaukee, WI
Built a small Odoo ERP prototype for a campus services case study, organizing sample HR, sales, and inventory records into consistent fields to demonstrate how shared workflows support day-to-day business operations.
Cleaned and migrated 1,600 sample records from spreadsheets into PostgreSQL and Odoo, sorting records by function, checking required fields, removing duplicates, and verifying archive copies against source files.
Logged software errors and user challenges during testing, grouped issues by impact, and presented a concise status review to the project supervisor and a student software developer for follow-up.
Prepared and delivered guided onboarding sessions for 12 student users acting as HR and sales employees, using task-based examples to explain ERP features, practical benefits, and accurate data entry.
Monitored completion and record accuracy through a shared tracking sheet, then submitted a final practicum report summarizing implementation progress, lessons learned, and process improvement recommendations.
Database Quality and Archive Capstone
Sep 2025 - Jan 2026
University Project
Milwaukee, WI
Created a repeatable intake and archive workflow for a class case study involving 900 customer and service records, documenting source, ownership, and retention fields before transfer.
Used PostgreSQL queries and Excel checks to identify missing values, inconsistent formats, and duplicate entries, then verified corrected records against the original dataset.
Presented data integrity findings and proposed database updates to a faculty review group, connecting quality issues to more dependable operational reporting.
Business Data Analysis Project
Jan 2025 - May 2025
Course Project
Milwaukee, WI
Analyzed a 540-row sample sales dataset with Excel pivot tables and descriptive statistics to identify seasonal patterns and gaps in product categorization.
Shared findings in a written report and classroom presentation, explaining how consistent data collection and clearer categories could improve routine business decisions.
LEADERSHIP, AWARDS & RECOGNITION
Peer Workshop Coordinator, Business Analytics Student Association, 2025-2026: Organized student-led practice sessions on spreadsheet organization and introductory database concepts.
Student Project Team Representative, Business Analytics Program, 2025: Collected classmates' feedback and presented project workflow suggestions during a faculty review.
Dean's List, University of Wisconsin-Milwaukee, Fall 2025 and Spring 2026.
Capstone Showcase, Faculty Recognition for Clear Data Documentation, 2026.
CERTIFICATIONS
Google Data Analytics Professional Certificate
2025
Odoo ERP Essentials, Odoo eLearning
2026
PROFESSIONAL AFFILIATIONS
Student member, Association for Information Systems, with professional engagement in information systems and business technology.
Student member, INFORMS, participating in an organized community focused on analytics and operations research.

Kendrick Greene
(410) 555-XXXX
kendrick.greene@example.com
kendrickgreene
Baltimore, MD 21201
SUMMARY
Information Systems student pursuing a bachelor’s degree, focused on data analysis and operational reporting for business decisions. Organize and validate operational data, build Excel trackers and Power BI dashboards, and document reporting definitions to make findings clear and consistent. Academic projects also include workflow analysis, SharePoint document management, SOPs, user guides, and training materials. Collaborate with student teams to gather requirements, troubleshoot business system workflows, and communicate practical process improvements.
EDUCATION
Bachelor of Science in Information Systems
2027
University of Maryland, Baltimore County
Baltimore, MD
TECHNICAL SKILLS
Spreadsheet Software: Microsoft Excel, Google Sheets, LibreOffice Calc
Office Applications: Microsoft Word, Microsoft PowerPoint, Microsoft Outlook
Business Intelligence: Microsoft Power BI, Tableau, Looker Studio
Relational Databases: Microsoft Access, Microsoft SQL Server, MySQL
Query Languages: SQL, T-SQL, SQLite
Analytics Programming: Python, R, pandas
Data Notebooks: Jupyter Notebook, Google Colab, RStudio
Data Formats: CSV, JSON, XML
Collaboration and Documents: SharePoint, OneDrive, Microsoft Teams
E-Learning Software: Articulate 360, Articulate Storyline, Articulate Rise
Workflow Software: Microsoft Power Automate, Microsoft Forms, Microsoft Lists
SKILLS
Data analysis
Data validation
Operational reporting
Microsoft Excel
Microsoft Word
Microsoft PowerPoint
Power BI
SQL
Microsoft Access
SharePoint
Document management
Workflow analysis
Process improvement
Requirements gathering
SOP documentation
EXPERIENCE
Data Analyst, Operational Reporting Capstone
Jan 2026 - Oct 2026
University Project
Baltimore, MD
Analyzed a simulated operations dataset by collecting, organizing, and validating records in Excel and SQL, identifying recurring patterns and discrepancies for an end-of-term decision-support report.
Built Excel trackers and Power BI dashboards to present key measures and trends; documented definitions and validation steps so classmates could review accurate, consistent reporting.
Organized project documentation in SharePoint libraries and checked that records were current, clearly labeled, and accessible to the student team.
Data Analyst, Workflow Documentation Study
Jan 2025 - Dec 2025
Academic Research
Baltimore, MD
Mapped an administrative request process from student interviews and sample records, then assessed handoffs and recurring delays to recommend practical workflow improvements and standardization.
Produced a concise process guide and SOP in Microsoft Word, plus a PowerPoint walkthrough, translating requirements and findings into clear, user-friendly documentation.
Created an Articulate training module and user guide for a prototype business system; gathered peer feedback and revised instructions to support accurate use and adoption.
Data Analyst, Business Systems Simulation
Sep 2024 - Dec 2024
Course Project
Baltimore, MD
Worked with a cross-functional student group to define reporting requirements for a database simulation, organize source information, and check records for accuracy and completeness.
Used Excel and Microsoft Access to test data entry and reporting workflows, troubleshoot software and process issues, and present findings with recommendations for improved data quality.
Compared the simulated workflow with a standardized alternative, documenting potential automation opportunities and the steps needed to maintain reliable operational records.
LEADERSHIP, AWARDS & RECOGNITION
Received student presentation recognition at the Information Systems Department Project Showcase in 2026.
Named to the Dean's List at the University of Maryland, Baltimore County, in Fall 2025.
Coordinated the Information Systems peer study group in 2025-2026, scheduling review sessions and sharing organized study materials.
Volunteered at the campus orientation information desk in 2024-2025, helping maintain clear, current reference materials for incoming students.
CERTIFICATIONS
Microsoft Office Specialist: Excel Associate
2025
Articulate 360 E-Learning Essentials
2026
Power BI Data Analysis Foundations, Microsoft Learn
2026
PROFESSIONAL AFFILIATIONS
Student member of the Association for Information Systems, engaging with professional resources related to information systems and analytics.
Student member of the Data Management Association, connecting with resources on data quality, governance, and information management.

Nikolai Fuentes
(515) 555-XXXX
nikolai.fuentes@example.com
nikolaifuentes
Ames, IA 50010
SUMMARY
Business Analytics graduate and early career data analyst focused on data mining, international buyer research, and agriculture markets. Locate and organize public trade and buyer information, then use Excel, SQL, and Tableau to examine country level patterns and communicate findings through reports and presentations. In university research and capstone settings, document sources, check data quality, and work with faculty and student teams to resolve discrepancies and clarify research questions. Coursework in data management, business statistics, international trade, and data visualization supports careful analysis of global market information.
EDUCATION
Bachelor of Science in Business Analytics
2026
Iowa State University
Ames, IA
Coursework: Data management, business statistics, international trade, data visualization
TECHNICAL SKILLS
Spreadsheets: Microsoft Excel, Google Sheets, LibreOffice Calc
Query Languages: SQL, PostgreSQL SQL, MySQL SQL
Visualization Platforms: Tableau, Microsoft Power BI, Looker Studio
Relational Databases: PostgreSQL, MySQL, SQLite
Data Formats: CSV, JSON, XML
Statistical Software: R, Python, SAS
Python Data Libraries: pandas, NumPy, Matplotlib
Survey Platforms: Qualtrics, Google Forms, Microsoft Forms
Mapping Platforms: QGIS, ArcGIS Online, Google Earth
Research Data Sources: UN Comtrade, World Bank Data, FAOSTAT
SKILLS
Data mining
Data analysis
Buyer research
Agriculture markets
Data cleaning
Data organization
Data validation
Market research
Country reporting
Data visualization
Research documentation
Pattern analysis
Presentation development
Business statistics
International trade
EXPERIENCE
Data Analyst Intern, Academic Project
Jan 2026 - May 2026
University Market Research Project
Ames, IA
Located and organized public trade records and buyer directories for an agriculture market study, documenting source dates and country fields to create a traceable research dataset.
Cleaned duplicate entries and inconsistent country names in Excel and SQL, then checked a sample of records against source materials to improve the reliability of the analysis.
Compared buyer coverage across selected markets and summarized relevant patterns in country-wise reports for a faculty review presentation.
Created Tableau visualizations and concise presentation slides that helped project reviewers compare market findings and identify follow-up research questions.
Data Mining Research Assistant, Supervised Student Project
Aug 2025 - May 2026
Iowa State University Analytics Lab
Ames, IA
Compiled international buyer and agriculture trade information from public sources into a structured dataset for a supervised research assignment.
Applied consistent formatting, missing-value checks, and duplicate review to make records easier to analyze and maintain.
Used Excel and SQL to explore country-level trends, sharing documented findings and data limitations with the project team.
Data Analyst, University Capstone
Jan 2025 - May 2025
Global Markets Capstone Project
Ames, IA
Developed a small-scale analysis of international agriculture markets by gathering and organizing public trade and buyer information.
Produced country-wise summaries and charts in Excel, presenting the approach, findings, and source limitations to classmates and faculty.
Worked through data discrepancies with a student team, recording decisions so the analysis could be reviewed and repeated.
LEADERSHIP, AWARDS & RECOGNITION
Dean's List, Iowa State University, Fall 2024 and Spring 2025.
Student Research Poster Finalist, College Analytics Showcase, 2026.
Peer Study Group Coordinator, Business Analytics Student Network, 2025-2026, organized review sessions for data management and business statistics coursework.
Volunteer Presenter, Campus Global Markets Forum, 2025, shared a student project on interpreting country-level trade data.
CERTIFICATIONS
Google Data Analytics Professional Certificate, Coursera
2026
Tableau Fundamentals, Iowa State University Continuing Education
2025
PROFESSIONAL AFFILIATIONS
Member, American Statistical Association, student membership, 2025.
Member, Association for the Advancement of Artificial Intelligence, student community, 2025.

Harrison Vang
(541) 555-XXXX
harrison.vang@example.com
harrisonvang
Eugene, OR 97401
SUMMARY
Mathematics graduate with supervised data analytics experience supporting campus and community research. Collect, validate, clean, and interpret data with SQL, Python, and R, then present useful patterns through Tableau, Power BI, and QlikView visualizations. Develop and maintain dashboards, reports, and presentations that help reviewers assess participation and ridership trends and make data-driven decisions. Collaborate with faculty, student teams, and nonprofit stakeholders to clarify findings, address questions, and communicate analytical assumptions accurately. Bring careful attention to data quality, clear verbal and written communication, and practical knowledge of visualization best practices. Share dashboard techniques in training sessions and independently explore current visualization tools and features, supported by a Bachelor of Science in Mathematics.
EDUCATION
Bachelor of Science in Mathematics
2026
University of Oregon
Eugene, OR
TECHNICAL SKILLS
Programming Languages: Python, R, SQL
Visualization Platforms: Tableau, Power BI, QlikView
Database Systems: PostgreSQL, MySQL, Microsoft SQL Server
Python Data Libraries: pandas, NumPy, Matplotlib
R Data Libraries: dplyr, tidyr, ggplot2
Spreadsheet Software: Microsoft Excel, Google Sheets, LibreOffice Calc
Data Formats: CSV, JSON, XML
Web Technologies: HTML, CSS, JavaScript
Version Control: Git, GitHub, Bitbucket
Presentation Software: Microsoft PowerPoint, Google Slides, LibreOffice Impress
SKILLS
Data analysis
Data visualization
SQL querying
Data cleaning
Data quality checks
Trend analysis
Dashboard design
Report writing
Data interpretation
Problem solving
Stakeholder communication
Team collaboration
Presentation skills
Accuracy and detail
Self-directed learning
EXPERIENCE
Data Analyst Intern
Jun 2026 - Present
University-Sponsored Data Analytics Practicum
Remote, OR
Collected and interpreted program participation data with a faculty advisor, using SQL queries and Python to organize records for a community resource access review.
Ran data quality checks for missing values, inconsistent categories, and duplicate entries, then documented cleansing steps to support accurate analysis.
Built and maintained a Tableau dashboard with filters for service type and month, helping internal reviewers examine participation patterns and trends.
Prepared a concise findings report and presentation for university reviewers and external nonprofit stakeholders, revising charts and explanations in response to their questions.
Joined cross-functional check-ins and training sessions, shared dashboard techniques with peers, and independently tested current visualization features to extend practical tool knowledge.
Data Visualization Analyst
Jan 2026 - May 2026
Mathematics Capstone Project
Eugene, OR
Analyzed a multi-year public transportation dataset using SQL and R to identify ridership patterns across routes and seasonal periods.
Created Power BI visuals and a Tableau prototype, comparing labels, filters, and layout choices against data visualization best practices for accuracy and accessibility.
Presented findings and a written report to faculty and student reviewers, explaining analytical assumptions and limitations in clear verbal and written communication.
Undergraduate Data Research Assistant
Aug 2025 - Dec 2025
University Research Lab
Eugene, OR
Organized survey data for a supervised campus research study, using Python and database management practices to structure records for repeatable analysis.
Checked source data against collection logs, corrected formatting issues, and maintained a review record so the research team could trace changes.
Used QlikView to explore response distributions and emerging patterns, then shared draft visualizations with a cross-functional student and faculty group for review.
Student Data Analyst
Jan 2025 - May 2025
Course Project: Community Data Insights
Eugene, OR
Combined public census and local service datasets in SQL, documenting field definitions and resolving inconsistent values before analysis.
Used Python to summarize trends in a complex dataset and created a short report with charts for a class presentation to student and community reviewers.
Practiced dashboard design and data visualization concepts in Tableau, Power BI, and QlikView exercises, checking chart values and annotations for accuracy.
LEADERSHIP, AWARDS & RECOGNITION
Mathematics Department Peer Study Group Facilitator, 2025-2026.
Volunteer Data Presentation Lead, Campus Community Engagement Project, 2026.
College of Arts and Sciences Dean's List, 2024-2025.
Undergraduate Research Poster Session, Faculty Recognition for Clear Data Presentation, 2025.
CERTIFICATIONS
Google Data Analytics Professional Certificate, Coursera
2025
Power BI Data Analyst learning path, Microsoft Learn
2026
PROFESSIONAL AFFILIATIONS
Student member, American Statistical Association, engaging with an academic community focused on statistics and data analysis.
Student member, Association for Computing Machinery, participating in a professional community for computing and data technology.

Adley Ibarra
(408) 555-XXXX
adley.ibarra@example.com
adleyibarra
San Jose, CA 95112
SUMMARY
Early-career People Data Analyst with a B.S. in Business Analytics and applied experience examining employee experience, engagement, and retention. Analyze workforce data with SQL, Python, Excel, and Tableau to identify trends, validate records, and present useful HR metrics. Build dashboards and reports, collaborate with cross-functional teams, and explain findings that inform practical data-driven strategies. Apply privacy safeguards to confidential employee information and document data quality issues and analysis methods. Share research and reporting approaches with classmates and teammates, drawing on HR analytics industry trends and best practices to make analysis clearer and more efficient.
EDUCATION
Bachelor of Science in Business Analytics
2026
San Jose State University
San Jose, CA
TECHNICAL SKILLS
Programming Languages: Python, SQL, R
Data Visualization: Tableau, Microsoft Power BI, Looker Studio
Spreadsheets: Microsoft Excel, Google Sheets, LibreOffice Calc
Python Data Libraries: pandas, NumPy, SciPy
Statistical Software: RStudio, Jupyter, SPSS
Relational Databases: PostgreSQL, MySQL, SQLite
Survey Platforms: Qualtrics, Google Forms, Microsoft Forms
Business Intelligence: Tableau Prep, Microsoft Power Query, Looker
Development Environments: Visual Studio Code, JupyterLab, Google Colab
Version Control: Git, GitHub, Bitbucket
SKILLS
HR analytics
Employee experience
Engagement analysis
Retention analysis
HR metrics
Workforce data analysis
Dashboard development
Reporting
Data quality management
Trend analysis
Data documentation
Stakeholder communication
Data privacy and security
Cross-functional collaboration
Process improvement
EXPERIENCE
People Data Analyst, Capstone Project
Jan 2026 - Aug 2026
University Project
San Jose, CA
Analyzed a de-identified dataset of 1,200 employee records using SQL and Python, combining engagement survey results with retention and workforce measures to identify meaningful HR metric patterns.
Built Tableau dashboards and supporting reports that let a faculty review panel compare employee experience and engagement results across departments and review retention trends.
Checked HR data tables for missing values, duplicates, and inconsistent categories, documented findings, resolved data issues, and corrected the project database to improve data quality.
Presented findings and practical, data-driven strategies to a cross-functional student team, explaining how proposed changes could strengthen employee experience and support business results.
Applied data privacy and security protocols throughout the project, limiting access to de-identified records and protecting confidential employee information.
HR Analytics Research Project
Sep 2025 - Dec 2025
Academic Research
San Jose, CA
Reviewed HR analytics industry trends and best practices, then analyzed a de-identified employee survey dataset to examine connections among engagement, employee experience, and retention.
Used Excel and Python to validate survey data, troubleshoot inconsistent responses, and document analysis steps so research findings could be checked and reproduced.
Summarized trends and patterns in a concise report for faculty and student stakeholders, translating statistical findings into clear, appropriately qualified data insights.
Shared research methods and findings with project teammates, improving consistency in data review and supporting effective knowledge sharing.
People Analytics Dashboard Course Project
Jan 2025 - May 2025
University Project
San Jose, CA
Combined sample HR data from separate files into a structured database and used SQL and Excel checks to flag missing records and inconsistent fields.
Developed an interactive Tableau dashboard and a short companion report to track sample HR metrics, with filters that clarified department-level engagement and retention patterns.
Presented the dashboard to classmates acting as stakeholders, gathered feedback, and refined labels and visualizations to make the findings easier to understand.
Completed an ad hoc analysis request and documented a repeatable workflow that reduced manual steps in the project team's reporting process.
LEADERSHIP, AWARDS & RECOGNITION
Business Analytics Department Project Showcase, Faculty Recognition for Clear Data Communication, 2026.
Dean's List, San Jose State University, 2025.
Peer Study Group Coordinator, Business Analytics courses, 2025-2026; organized review sessions and shared study resources with classmates.
Student Volunteer, Campus Career Readiness Week, 2025; supported event logistics and attendee check-in.
CERTIFICATIONS
Google Data Analytics Professional Certificate
2025
Excel for Business Analytics Course
2025
PROFESSIONAL AFFILIATIONS
Student member, Society for Human Resource Management (SHRM), participating in its professional community focused on human resources and people analytics.
Student member, INFORMS, engaging with its analytics and operations research community.
LANGUAGES
English (Native)
Spanish (Intermediate)

Cora Ball
(775) 555-XXXX
cora.ball@example.com
coraball
Reno, NV 89501
SUMMARY
Business analytics graduate with two years of applied academic project practice in data analysis, statistical modeling, and decision support. Define data requirements, prepare and analyze datasets, and use visualizations to explain patterns relevant to supply chain, marketing, financial services, market economics, and scientific research. Contribute findings to data science and Big Data Mining projects, automate recurring preparation, and share documented analytical practices with peers. Hold a bachelor's degree in business analytics and have coordinated student project reviews.
EDUCATION
Bachelor of Science in Business Analytics
2026
University of Nevada, Reno
Reno, NV
TECHNICAL SKILLS
Programming Languages: Python, SQL, R
Data Analysis Libraries: pandas, NumPy, SciPy
Visualization Libraries: Matplotlib, Seaborn, Plotly
Business Intelligence: Tableau, Microsoft Power BI, Looker Studio
Spreadsheets: Microsoft Excel, Google Sheets, LibreOffice Calc
Relational Databases: PostgreSQL, MySQL, SQLite
Notebook Platforms: Jupyter Notebook, Google Colab, RStudio
Statistical Software: statsmodels, scikit-learn, SAS
File Formats: CSV, JSON, Microsoft Excel XLSX
Version Control: Git, GitHub, GitLab
SKILLS
Data analysis
Data requirements
Data collection
Data cleaning
Statistical modeling
Data visualization
Trend analysis
Decision support
Data Science support
Big Data Mining
Process improvement
Analysis automation
Research documentation
Data validation
Knowledge sharing
EXPERIENCE
Business Analytics Capstone Project
Sep 2025 - May 2026
University Project
Reno, NV
Combined 18,000 public supply chain records after defining data requirements, collecting source files, and using SQL and Python to clean and validate the data for a forecasting and inventory analysis.
Compared regression and clustering models against holdout data, documenting assumptions and model limits so project reviewers could assess patterns and trends relevant to replenishment decisions.
Built Tableau dashboards that translated model results into clear answers to business questions, then presented findings and recommended follow-up analyses to a faculty review panel.
Automated repeatable data-quality checks in Python, reducing manual preparation steps and creating a documented workflow for future student teams.
Marketing and Financial Services Analytics Practicum
Jan 2025 - Aug 2025
University Research Lab
Reno, NV
Gathered and standardized public advertising and financial-services datasets for separate research questions, recording data definitions and collection steps to support reproducibility.
Analyzed campaign response patterns and financial-market indicators with Excel, SQL, and Python, using statistical summaries and visualizations to explain findings without overstating associations.
Shared cleaned datasets, analytical notes, and preliminary findings with a faculty-led data science group as input to a broader Big Data Mining research project.
Followed established research and data-handling standards, independently completing scoped analyses and presenting limitations and next-step options at project reviews.
Market Economics and Supply Chain Course Project
Sep 2024 - May 2025
University Project
Reno, NV
Processed public commodity-price and shipping datasets in Excel and SQL to examine how market economics and supply chain conditions related to observed price changes.
Created charts and a concise analysis brief that highlighted data patterns, explained collection and cleaning decisions, and connected results to practical planning questions.
Worked within course guidelines to check calculations, document methods, and share reusable data-preparation practices with classmates.
LEADERSHIP, AWARDS & RECOGNITION
Peer Project Coordinator, Student Analytics Association, 2025-2026: Set weekly objectives and review checkpoints for a three-person student project group, shared reproducible analysis practices, and helped junior members prepare research presentations.
Peer Mentor, University of Nevada, Reno, 2024-2025: Led study sessions on data cleaning and introductory statistical analysis for undergraduate classmates.
Dean's List, University of Nevada, Reno, 2024 and 2025.
Undergraduate Research Poster Recognition, College Research Showcase, 2025.
CERTIFICATIONS
Google Data Analytics Professional Certificate
2025
Microsoft Office Specialist: Excel Associate
2024
PROFESSIONAL AFFILIATIONS
Student member of the American Statistical Association, engaging with statistical analysis resources and professional development opportunities.
Student member of INFORMS, participating in its organized community for analytics and operations research.