Data Scientist - LLM Evaluation & Healthcare Analytics

Shyam Patel

551-***-**** *****.*.*****@*****.*** Status: U.S. Citizen LinkedIn, GitHub

PROFESSIONAL SUMMARY

Data Scientist and AI Analytics professional with an M.S. in Data Science & AI and experience in machine learning, LLM evaluation, healthcare analytics, dashboard development, and performance analytics. Skilled in Python, SQL, R, Tableau, statistical analysis, model evaluation, A/B testing, and KPI reporting. Strong healthcare and neuroscience background with experience translating complex data into actionable insights. EDUCATION

Master of Business and Science (MBS), Data Science and Artificial Intelligence Rutgers University, New Brunswick Specialization: Health Informatics GPA: 4.00 September 2023 – May 2025 Bachelor of Science in Cell Biology & Neuroscience Rutgers Honors College, New Brunswick Minor: Economics GPA: 3.82 September 2016 – May 2020 PROFESSIONAL EXPERIENCE

Artificial Intelligence (AI) Research Engineer DataAnnotation, OutlierAI January 2025 – Present

● Evaluated AI-generated outputs across technical and analytical tasks by creating fine-grained evaluation criteria to assess factual accuracy, reasoning quality, instruction following, completeness, and reliability.

● Supported RLHF and model-improvement workflows by creating structured feedback, preference rankings, and rubric-based annotations that helped identify recurring model failure patterns.

● Designed prompt-engineering workflows for Python simulations, code generation, mathematical reasoning, and multi-step technical problem solving.

Performance Marketing & Analytics Bloody Brilliant January 2024 – Present

● Analyzed 50,000+ campaign, audience, and engagement records to evaluate CTR, conversion rate, retention, and user engagement trends across digital marketing initiatives.

● Built Tableau dashboards to monitor real-time KPIs, campaign performance, audience behavior, and conversion trends for stakeholder decision-making and conducted A/B-style performance comparisons to identify higher-performing content strategies. Content Creation & Analytics January 2020 – Present

● Built and managed a 270,000+ follower/subscriber audience across TikTok, YouTube, and Instagram by leading end-to-end content production, including ideation, filming, editing, publishing, and performance analysis.

● Developed data-driven content strategies by analyzing retention, watch time, engagement, reach, click behavior, and audience growth trends to identify high-performing formats and improve future content performance.

● Conducted A/B-style testing on hooks, captions, thumbnails, posting times, content length, and calls-to-action, while creating Python automation tools and AI-assisted scripts to streamline editing workflows and improve production efficiency. Data Science Research Extern Lead DIMACS January 2025 – May 2025

● Deployed and compared interpretable and predictive machine learning models, including decision-tree-based models, risk scoring approaches, and classification models, to evaluate student success outcomes.

● Performed data cleaning, exploratory data analysis, feature selection, model evaluation, and performance comparison using accuracy, precision, recall, F1-score, and ROC-AUC.

Data Analyst Extern Griffiss Institute January 2024 – May 2024

● Cleaned, transformed, and analyzed demographic and performance data from STEM education programs to support strategic planning and program improvement; Built Tableau dashboards to visualize enrollment patterns, participant demographics, and performance trends. CLINICAL & RESEARCH EXPERIENCE

Academic Instructor Hudson County Community College September 2023 – May 2025 Pharmacy Technician Brookdale Pharmacy September 2020 – September 2023 Neuroscience Research Assistant Keck Center of Collaborative Neuroscience January 2018 – May 2020 Chemistry Teaching intern Rutgers Chemistry Department September 2017 – May 2020 Peer Tutor Rutgers Learning Centers January 2018 – May 2020 PROJECTS & PORTFOLIO

Data Analytics & Visualization Portfolio (Tableau + SQL) January 2025 – Present

● Developed 20+ Tableau dashboards analyzing healthcare, user behavior, marketing, and performance datasets using SQL-based extraction, cleaning, aggregation, and KPI development.

Sports Analytics Dashboard (NFL Data)June 2025 – December 2025

● Built an interactive analytics dashboard/database analyzing NFL player statistics, weekly trends, benchmark hit rates, and performance summaries using Python, SQL, Tableau, and Streamlit. CORE SKILLS

Technical: Python, SQL, R, Pandas, NumPy, Tableau, Excel, Git/GitHub, Streamlit Machine Learning & Statistics: Regression, Classification, Random Forest, XGBoost, Feature Engineering, Cross-Validation, Model Evaluation AI & LLM Evaluation: Prompt Engineering, RLHF, LLM Evaluation, Rubric Design, Error Analysis, Preference Ranking, SLR Workflows Analytics: A/B Testing, Cohort & Funnel Analysis, Retention Analysis, KPI Reporting, Data Cleaning, Dashboard Development

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