<Biostatistics_M.P.H_Candidate_@_Columbia_University>

/* I am a graduate MPH Biostatistics student at Columbia (certificate in CEOR), passionate about healthcare consulting, data analysis, pharma, and AI-driven innovation. Let's connect! */

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🟢 Open to work

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Currently an Extern @Pfizer

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<Work_samples>

Discover my projects that blend AI and document intelligence, showcasing my skills and learning journey.

Pfizer Advanced AI-Powered Document Intelligence Externship
[01]Pfizer ExternshipJul 2026
Pfizer Advanced AI-Powered Document Intelligence Externship
Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.
AI & MLPythonDocument IntelligencePresentation Skills

<About_me>

I am a graduate MPH Biostatistics student at Columbia (certificate in CEOR), passionate about healthcare consulting, data analysis, pharma, and AI-driven innovation. Let's connect!

I'm a graduate student at Columbia University pursuing a Master's Degree. Currently, I'm gaining practical experience through my externship at Pfizer, where I'm working on advanced AI-powered document intelligence. I aim to strengthen my resume and enhance my competitiveness for future job opportunities.

Externships

Pfizer Advanced AI-Powered Document Intelligence Externship

Pfizer

Experience

PwC AI-Powered Nonprofit Consulting and Data Analytics Extern

Extern, PwC · June 2026 - Present

Pfizer Advanced AI-Powered Document Intelligence Extern

Extern, Pfizer · May 2026 – Present

Published Scientific Intern/ Research Project Assistant

Breast Cancer Hub · March 2018 – Present

Biostatistics Student Ambassador

Columbia Mailman School of Public Health · Aug 2026

Quantitative Specialist

Columbia Mailman School of Public Health · Jul 2026

Undergraduate Clinical Research Assistant

Carolina Institute of Developmental Disabilities · July 2023 – May 2025

Clinical Task Research Assistant

Internet Tobacco Vendors Study · Aug 2022

Education

Columbia University, Mailman School of Public Health

Master of Public Health in Biostatistics, Certificate in Comparative Effectiveness Outcomes Research (CEOR) · Class of 2027

University of North Carolina at Chapel Hill

B.S Quantitative Biology, B.S Statistics and Analytics, Minor in Neuroscience · Class of 2025

Skills

AIDocument IntelligenceGraduate StudiesColumbia UniversityExternship at PfizerAI Powered AnalyticsAI-Driven InsightsAI Workflow DesignArtificial IntelligenceBiotechCollaborationCommunicationCompetitive AnalysisConsultingCritical ThinkingData AnalysisData AnalyticsData VisualizationExcelGenerative AI

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Pfizer · Jul 2026 ↗

✅ Verified by Extern

<Pfizer_Advanced_AI-Powered_Document_Intelligence_Externship>

Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.

AI & MLPythonDocument IntelligencePresentation Skills

/Overview

I developed an AI-powered document intelligence system at Pfizer, leveraging OCR, LLMs, and RAG techniques to automate pharmaceutical workflows. This project involved hands-on experience with data extraction, processing, and creating a user-friendly interface, culminating in a comprehensive system that enhances document management in the pharmaceutical industry.

Pfizer Advanced AI-Powered Document Intelligence Externship

Open Link

//What I've accomplished

I produced a complete AI document intelligence pipeline: cleaned and preprocessed document data, compared OCR engines, extracted and reassembled tables with bounding boxes, implemented RAG with reranking and open-source LLMs, and shipped a Gradio chatbot plus a final integrated demo.

///Project breakdown

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<Work_samples>

Pfizer Advanced AI-Powered Document Intelligence Externship

<About_me>

<Pfizer_Advanced_AI-Powered_Document_Intelligence_Externship>

/Overview

//What I've accomplished

///Project breakdown

Gradio Chatbot with RAG IntegrationI built a Gradio-based RAG chatbot that answers questions from uploaded PDFs using a local Phi-4-mini-instruct model and FAISS-backed retrieval.

How AI Reads Pharmaceutical DocumentsI analyzed a pharmaceutical vendor documentation package and flagged format and extraction challenges relevant to AI processing.

Learn to Work with Python for AI-Powered Document ProcessingI cleaned and preprocessed CSV, JSON, and scanned-document images using Python tools to prepare them for AI-based document processing.

Data Extraction from Documents Using PythonI extracted and structured text and dates from multi-page SDF PDFs using PyMuPDF, then documented issues and heuristics for reliable field pairing.

Advanced OCR Comparison and Layout-Aware ExtractionI compared Tesseract, PaddleOCR, and EasyOCR on a pharmaceutical certificate and reported which engine best preserved field-value structure for downstream extraction.

Introduction to Retrieval-Augmented Generation (RAG)I built and evaluated a complete RAG pipeline for document retrieval using LlamaIndex, hybrid retrieval, and cross-encoder reranking.

Advanced RAG and Open-Source ExperimentsI ran comparative RAG experiments and open-source LLM evaluations, then recorded retrieval behavior and model outputs on a pharmaceutical SDF document.

Blob Processing, Classification, and RoutingI built a page-level segmentation and classification workflow that identified document boundaries and labeled each page by type for a bundled pharmaceutical PDF.