Pfizer Externship via Extern
I am committed to building a solid foundation in Data Analytics and enhancing my resume for future opportunities.
🟢 Open to workDive into my portfolio showcasing my work in Data Analytics, SQL, and Database Architecture. Each project reflects my commitment to learning and growth.
Breaking Games · Sep 2026 · ✅ Verified by Extern
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
Applied permutation tests, t-tests, and chi-square tests to conduct statistical analysis and validate hypotheses across domains including EV performance and behavioral psychology. Built and compared linear regression models to identify Airbnb price drivers, evaluating statistical model performance w
Performed end-to-end data manipulation on a 60,000-row recidivism dataset using Python, Pandas, and NumPy; engineered features by parsing dates, calculating ages, and encoding categorical variables. Resolved one-to-many relational data integrity issues by grouping patient identifiers and segmented d
Designed and built a responsive full-stack web application as the capstone for a 10-week intensive CodePath software engineering program. Engineered a dynamic front-end using HTML, CSS, and JavaScript; implemented a back-end with Node.js and Express.js to handle HTTP requests and RESTful API routes.
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Pfizer · ✅ Verified by Extern · ⏱️ In progress
Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.
I am committed to building a solid foundation in Data Analytics and enhancing my resume for future opportunities.
I am a senior at Rutgers University working towards a Bachelor's Degree in Computer Science. With some work experience, I am excited to start my career in Data Analytics and improve my skills in Python and Database Architecture.
Externships
Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship
In progress
Experience
Orientation Leader
New Student and Family Program · May 2024 - Aug 2026
Education
Rutgers University
BS Computer Science · Class of 2027
Skills
✅ Verified by Extern
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
The work ingested six disparate data sources into a working SQLite analytics database, inventoried raw files, and ran SQL to measure product and revenue metrics. It defined a dim_product table, joined sales and event tables, and aggregated revenue and units to produce a ranked product performance table. The work also cleaned 421 referral strings, calculated CTR/CPC/ROI per Meta campaign, and
I loaded six data sources into SQLite, built a dim_product table with keys and joins to event and sales tables, aggregated product revenue and units into a ranked reorder table, and cleaned referral data to calculate campaign CTR/CPC/ROI and a Q4 ad allocation plan.
Applied permutation tests, t-tests, and chi-square tests to conduct statistical analysis and validate hypotheses across domains including EV performance and behavioral psychology. Built and compared linear regression models to identify Airbnb price drivers, evaluating statistical model performance w
Performed end-to-end data manipulation on a 60,000-row recidivism dataset using Python, Pandas, and NumPy; engineered features by parsing dates, calculating ages, and encoding categorical variables. Resolved one-to-many relational data integrity issues by grouping patient identifiers and segmented d
Designed and built a responsive full-stack web application as the capstone for a 10-week intensive CodePath software engineering program. Engineered a dynamic front-end using HTML, CSS, and JavaScript; implemented a back-end with Node.js and Express.js to handle HTTP requests and RESTful API routes.
✅ Verified by Extern · ⏱️ In progress
Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.
The work prototyped an AI-driven document intelligence pipeline combining OCR, language models, and retrieval techniques to process enterprise PDFs. The project researched LLM behavior, designed extraction and indexing steps, and assembled components into a reproducible prototype.
I researched and documented the fundamentals of large language models to ground the prototype's design decisions and implementation.
