Data Quality Analyst Resume Rowan Duran Data Quality Analyst (501) 555-XXXX rowan.duran@example.com rowanduran Little Rock, AR 72204 STRENGTHS Careful validation Checks transformed results against source records and documented rules, catching discrepancies before sharing reports with reviewers. Clear reporting Turns exception counts and completeness findings into dashboards classmates and faculty can review and verify against source data. Practical analysis Uses statistical summaries to prioritize missing labels, duplicates, and inconsistent fields for focused dataset review. Responsible experimentation Compared suggested model labels with manually reviewed examples and documented limits before proposing a reviewer-support use. Collaborative learning Shared study resources and helped classmates practice programming and statistics in a peer study group. SKILLS Data quality profiling Data validation Statistical analysis Python PySpark Databricks Snowflake Power BI Tableau Data visualization Computer Vision Generative AI Large language models Amazon SageMaker Analytical support SUMMARY Computer science graduate with academic experience in data quality , statistical analysis , and analytical support for structured and image-based datasets. Build repeatable checks with Python and PySpark, use Databricks and Snowflake to profile and validate records, and present findings through Power BI and Tableau. Project experience includes preparing Computer Vision datasets and evaluating a Gen AI and large language model prototype for human review of quality exceptions. Translate course and research requirements into tested workflows, documented findings, and clear visual reports, with results checked against validation rules and sampled source records. EDUCATION Bachelor of Science in Computer Science University of Central Arkansas 2026 TECHNICAL SKILLS Programming Languages: Python, SQL, Scala Data Processing: Apache Spark, PySpark, Hadoop Data Platforms: Databricks, Snowflake, Amazon Redshift Business Intelligence: Power BI, Tableau, Looker Cloud Services: Amazon SageMaker, Amazon S3, AWS Glue Machine Learning: scikit-learn, TensorFlow, PyTorch Computer Vision: OpenCV, Pillow, torchvision Data Formats: JSON, CSV, Apache Parquet Databases: PostgreSQL, MySQL, SQLite Development Tools: Jupyter, Git, Visual Studio Code SKILLS Data quality profiling Data validation Statistical analysis Python PySpark Databricks Snowflake Power BI Tableau Data visualization Computer Vision Generative AI Large language models Amazon SageMaker Analytical support EXPERIENCE Data Quality Analyst Capstone Project University Data Quality Capstone Jan 2026 - May 2026 Little Rock, AR Built a Python and PySpark profiling workflow in Databricks for a synthetic, 85,000-row service dataset, checking completeness, duplicate records, format consistency, and outliers before downstream analysis. Loaded curated tables into Snowflake and used documented validation rules to reconcile source and transformed records, giving faculty reviewers a repeatable way to trace exceptions. Created Power BI dashboards showing defect categories, affected fields, and review status, then tested the reports against sampled records and presented findings to a class review panel. Data Quality Analyst Research Project University Research Project Aug 2025 - Dec 2025 Little Rock, AR Evaluated whether a Gen AI and LLM prototype could assign preliminary categories to data quality exceptions, using a small, de-identified research dataset and human review of suggested labels. Prepared a baseline classification experiment in Amazon SageMaker and compared model outputs with manually labeled examples, documenting error patterns and limits before recommending the prototype only for reviewer support. Presented the evaluation method, findings, and documentation to a faculty research group, distinguishing experimental results from verified data quality findings. Data Quality Analyst Computer Vision Project Computer Vision Course Project Jan 2025 - May 2025 Conway, AR Audited a 12,000-image course dataset for missing labels, duplicate files, inconsistent categories, and image readability, applying Python scripts and statistical summaries to prioritize review. Tested a Computer Vision preparation pipeline on sampled images and recorded how label corrections and exclusion rules affected the project dataset, producing a reusable quality checklist for the team. Data Quality Analyst Reporting Project Analytics Course Project Sep 2024 - Dec 2024 Conway, AR Used Statistics and Python to examine a classroom retail dataset, identify inconsistent product and date fields, and document assumptions before summarizing the data. Built a Tableau dashboard to explain exception counts and data completeness to classmates, cross-checking displayed totals against source records and a separate Power BI report. LEADERSHIP, AWARDS & RECOGNITION Dean's List, University of Central Arkansas, 2024-2026. Undergraduate Research Poster Presenter, Computer Science and Mathematics Showcase, 2025. Peer Mentor, Computer Science study group, 2025-2026, sharing study resources and helping classmates practice introductory programming and statistics. Student Data Society project coordinator, 2025, organizing peer feedback sessions for class data visualization projects. CERTIFICATIONS Databricks Lakehouse Fundamentals 2025 AWS Academy Machine Learning Foundations 2025 PROFESSIONAL AFFILIATIONS Student member, Association for Computing Machinery (ACM), University of Central Arkansas community. Student member, Institute of Electrical and Electronics Engineers (IEEE), University of Central Arkansas community.
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