I create data-driven prototypes using OCR, LLMs, RAG, and product analysis to turn documents and user research into actionable workflows and feature ideas.
Selected projects include an AI-powered PDF workflow prototype for Pfizer and a product management externship exploring engagement and growth design at BeReal.
Pfizer · May 2026 · ✅ Verified by Extern
Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.
Researched and analyzed customer-retention, pricing, and market data using Excel and Power BI; recommended targeted strategies with a projected 15% revenue uplift.
Applied demand-driven forecasting and inventory analysis, resulting in a projected 20% reduction in inventory holding costs.
I create data-driven prototypes using OCR, LLMs, RAG, and product analysis to turn documents and user research into actionable workflows and feature ideas.
I am Sharvil Acharya, a data science major focused on data analytics. I build prototype solutions that combine OCR, large language models, and retrieval-augmented generation to automate document workflows and explore product features for social apps through externships.
Externships
Pfizer Supply Chain Document Processing Externship
Completed · May 2026
Experience
Analyst
Ishan Technologies · Dec 2025 – Jul 2026
Data Analyst Intern
Brillare Science Ltd. · Apr 2025 – Aug 2025
Education
Adani Institute of Digital Technology Management
PGDM – Big Data Analytics · Class of 2026
Dharmsinh Desai University
B.Tech – Mechanical Engineering · Class of 2023
Gujarat Technological University
Diploma – Mechanical Engineering · Class of 2020
Skills
✅ Verified by Extern
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 built an end-to-end document intelligence prototype that combined OCR, Python-based extraction, and Retrieval-Augmented Generation. Deliverables included runnable Colab notebooks demonstrating OCR comparisons, text extraction and exports, a LlamaIndex RAG chatbot, Gradio UI integration, and a final demo with a walkthrough video.
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I delivered a complete Colab-based document intelligence pipeline: multi-page SDF text extraction and exports, OCR engine comparisons, RAG indexing and chatbot, blob segmentation with metadata tags, and a Gradio demo with walkthrough.
Researched and analyzed customer-retention, pricing, and market data using Excel and Power BI; recommended targeted strategies with a projected 15% revenue uplift.
Applied demand-driven forecasting and inventory analysis, resulting in a projected 20% reduction in inventory holding costs.
