Junior Data Scientist/Analyst Resume Joaquin Garner Junior Data Scientist/Analyst (414) 555-0198 joaquin.garner@example.com linkedin.com/in/joaquin-garner Milwaukee, WI 53202 STRENGTHS Collaboration Consistently engaged in teamwork scenarios that generated innovative insights, fostering an encouraging environment. Problem Solving Proactively identified solutions during complex project phases, leading teams through challenges creatively and resourcefully. Communication Effectively conveyed technical findings to audiences of varying backgrounds, bridging gaps with clear language. Adaptability Eagerly embraced new tools and methods, allowing fluid transitions between varying project requirements and conditions. Technical Proficiency Demonstrated solid foundational skills in relevant databases and programming languages, enabling competent project performances. SKILLS Python SQL Machine Learning Data Visualization Cloud Technologies Data Analysis Git CI/CD APIs Data Mining Predictive Analytics Data Cleaning Tableau Visualization Techniques A/B Testing Dashboard Development LANGUAGES English Native 40 Spanish Proficient 30 MY CAREER 1.1 Years Data Science Project Developer at University Project (7 Months) Machine Learning Intern at Capstone Project (3 Months) Research Assistant at Academic Research (3 Months) SUMMARY Recent graduate with a Bachelor's degree in Computer Science, focusing on data science and analytics. Gained hands-on experience through academic projects emphasizing machine learning and data analysis using Python and SQL. Developed skills in collaboration on technical projects while effectively communicating insights and findings. Demonstrated ability to tackle complex problems, utilizing cloud technologies for improved results. Eager to contribute analytical abilities and technical knowledge to a forward-thinking team that values innovation and creative problem-solving. EDUCATION Bachelor of Science in Computer Science University of Wisconsin-Milwaukee GPA: 3.8 2026 Milwaukee, WI Coursework: Data Structures, Algorithms, Machine Learning, Database Management TECHNICAL SKILLS Programming Languages: Python, SQL, R Data Analysis Tools: Pandas, NumPy, Scikit-learn Visualization Tools: Tableau, Matplotlib, Seaborn Machine Learning Frameworks: TensorFlow, Keras, PyTorch Database Management Systems: MySQL, PostgreSQL, SQLite Cloud Platforms: AWS, Azure, Google Cloud Version Control: Git, GitHub, Bitbucket Project Management Tools: Trello, Jira, Asana Web Frameworks: Flask, Django, FastAPI Development Methodologies: Agile, Scrum, Waterfall SKILLS Python SQL Machine Learning Data Visualization Cloud Technologies Data Analysis Git CI/CD APIs Data Mining Predictive Analytics Data Cleaning Tableau Visualization Techniques A/B Testing Dashboard Development EXPERIENCE Data Science Project Developer University Project January 2026 - Present Milwaukee, WI Designed and developed analytical models supporting various projects, leveraging Python and SQL for deep data insights. Setup execution processes ensuring delivery aligned with project goals. Developed predictive analytics model forecasting housing prices, applying machine learning techniques with practical implications. Conducted thorough data cleaning of over 10,000 entries, prioritizing accuracy and reliability to enhance project credibility. Collaborated with a diverse team of 4, successfully showcasing findings at the university's tech showcase, earning positive feedback from faculty. Utilized SQL for data extraction, streamlining handling processes significantly. Created dynamic visualizations in Tableau to communicate findings clearly to non-technical stakeholders enhancing understanding. Documented comprehensive processes and insights improving future project replication and knowledge transfer. Machine Learning Intern Capstone Project September 2025 - December 2025 Milwaukee, WI Gained practical experience with advanced machine learning algorithms, contributing towards a collaborative Capstone project focused on user interaction and data processing. Implemented machine learning algorithm classifying customer reviews achieving high accuracy complementing critical evaluations. Teamed up integrating cloud solutions for data storage, enhancing overall scalability of the project. Conducted iterative A/B testing assessing model performance adjusting methodologies based on results. Developed user-friendly dashboards displaying analysis results simplifying complex data access for users. Presented impactful findings to faculty, translating intricate concepts into understandable formats. Sharpened technical aptitude across platforms like Python, SQL, and cloud environments demonstrating versatile application. Research Assistant Academic Research May 2025 - August 2025 Milwaukee, WI Contributed to valuable research in data mining focused on extracting insights pertinent to social media environments, reflecting strong academic rigor. Assisted in executing data mining techniques producing actionable insights impacting ongoing academic studies. Analyzed extensive datasets using Python libraries resulting in quality contributions to the research publication process. Collaborated closely with faculty refining methodologies ensuring adherence to established standards. Participated actively in weekly meetings consistently delivering insightful updates reflecting progress. Engaged extensively during literature reviews amplifying current trends influencing data science initiatives. Played a key role in submitting a paper to a peer-reviewed journal reflecting diligent research practices. LEADERSHIP & AWARDS Dean's List (2025) Best Project Award at University Tech Showcase (2026) CERTIFICATIONS Google Data Analytics Professional Certificate 2026 Microsoft Certified: Azure Data Scientist Associate 2026 PROFESSIONAL AFFILIATIONS Member of the Data Science Club, engaging in innovative workshops and challenging hackathons. Volunteer Mentor for first-year computer science students, providing essential guidance and support. LANGUAGES English (Native) Spanish (Proficient) ADDITIONAL INFORMATION Work Status : Authorized to work in United States. No sponsorship required. ADDITIONAL INFORMATION Work Status : Authorized to work in United States. No sponsorship required. REFERENCES AVAILABLE ON REQUEST
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