Freshman bachelor student focused on Data Science and Sports Analytics, with practical experience from a NASCAR NY Racing externship.
Portfolio of early projects and the NASCAR NY Racing sports analytics externship, showing applied analytics work completed during my first year.
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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.
Freshman bachelor student focused on Data Science and Sports Analytics, with practical experience from a NASCAR NY Racing externship.
I am Jagannadh Revanth Balla, a first-year bachelor student at the University of Texas at San Antonio CAP program to University of Texas at Austin. I have limited work experience and I completed a NASCAR NY Racing sports analytics externship while beginning my studies.
Externships
Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship
Pfizer
Experience
Co-Founder & Chief Marketing Officer (CMO)
Metric Voice · Jan 2024 – Jan 2026
Marketing Intern
iCode Corp · Aug 2024 – Mar 2025
STEM Instructor
iCode Leander · Mar 2024 – Oct 2024
Head Sales Associate
Round Rock Area Serving Center · Jan 2020 – Oct 2022
Education
University of Texas at San Antonio (CAP) → University of Texas at Austin
Behavioral Data Science · Class of 2030
Skills
✅ 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 externship developed an AI-powered document intelligence prototype that combined OCR, LLMs, and retrieval-augmented generation to process enterprise PDFs. The work surveyed LLM fundamentals, mapped OCR and RAG integration patterns, and produced technical notes and examples demonstrating automated extraction and query workflows.
I researched foundational LLM concepts, documented how they integrate with OCR and RAG pipelines, and produced concise technical notes and examples that illustrate end-to-end document intelligence flows.
