Data Analyst Science

STEPHEN KEYEN – Data Analyst

Claremont, CA *******.*****@*****.*** 470-***-**** LinkedIn

GitHub Portfolio

Analytical professional, skilled in transforming complex data into actionable insights. Proven experience using SQL, Python, and data visualization tools to drive business decisions. Adept at uncovering trends, optimizing processes, and supporting data-driven strategies across dynamic environments.

EDUCATION

Claremont Graduate University, Claremont, CA

MSc. Information Systems and Technology, (Data Science & Analytics Track). 4.0/4.0 GPA

•Computer Information Systems and Technology (CISAT) Fellowship Recipient, 2023-2025

Relevant Courses: Database Management Systems, Data Analytics Special Topics: Agile data innovation, Data Warehousing and Business Intelligence, Generative AI.

Shenyang Institute of Engineering, Shenyang, China

BSc. Computer Science and technology 3.5/4.0 GPA

•Graduated with distinction; focused on algorithms, web technology and database systems

EXPERIENCE

Data Science Intern

LifeNet Health, Virginia Beach, VA

Aug 2024 – Dec 2024

•Extracted and analyzed large-scale datasets from Microsoft Azure using advanced SQL queries, reducing data retrieval time by 30% and enhancing data pipeline efficiency.

•Collaborated on the engineering of high-impact features (e.g., tissue suitability, ischemic times) using statistical analysis and feature transformation, significantly boosting model accuracy.

•Designed and delivered interactive dashboards and visualizations to highlight key tissue correlation trends, accelerating stakeholder decision-making by 40% through actionable insights.

Teaching Assistant, Database Management Course

Claremont Graduate University, Claremont, CA

Sep 2024 – Dec2024

•Guided graduate students in SQL, database modeling, and data integrity, resulting in a 30% improvement in student performance.

•Led hands-on TA sessions to troubleshoot SQL errors, enhancing students' problem-solving skills and reducing common mistakes by 35%.

•Collaborated with faculty to create structured learning materials, improving course engagement and student comprehension by 25%.

SKILLS

Programming & Analysis: Python (pandas, NumPy, matplotlib, seaborn), SQL (MySQL, PostgreSQL), Tableau, MS office suites.

Developer Tools: VS Code, Git, GitHub, Airflow, Docker, Flask, Azure, Snowflake, Streamlit.

PROJECTS

Tissue sustainability analysis

•Extracted and analyzed a large medical dataset using SQL and Python, uncovering critical correlations between patient demographics, tissue suitability, ischemic times, and agency tissue quantity.

•Developed interactive visualizations to highlight the impact of ischemic times and agency tissue quantity on transplant success rates, aiding healthcare professionals in optimizing tissue distribution and patient care.

Creation of Sales Transaction Database and Analysis of Agent Sales Activities

•Designed and implemented a structured sales database using SQL, integrating agent profiles and promotional activities to enable multi-dimensional sales performance analysis.

•Conducted in-depth analysis of agent effectiveness and promotional impact by building aggregate queries and reports, leading to insights on revenue-driving campaigns and top-performing agents.

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