---
title: "Pratik Marudwar - Data Scientist in Bengaluru | Tal"
description: "Meet Pratik Marudwar, Data Scientist @WebMD| IIT Patna | Building LLM Applications, RAG Systems & Multi-Agent AI Solutions based in Bengaluru. AI stack includes claude code, codex, and cursor. Explore public work links including github."
image: "https://tal.club/meet/pratik-marudwar/share-image"
---

# Pratik Marudwar on Tal

## Headline

Data Scientist @WebMD\| IIT Patna \| Building LLM Applications, RAG Systems &amp; Multi\-Agent AI Solutions

## About

AI Engineer with experience building LLM\-powered applications, RAG systems, AI agents, and healthcare AI solutions\. Expertise: • Python, FastAPI, Django • LLMs, LangChain, LangGraph • Vector Databases, ChromaDB • Prompt Engineering and Evaluation • SQL, BigQuery, Cloud Technologies Currently building AI systems that transform natural language into production workflows and analytics solutions\.

## Location

Bengaluru

## AI stack

claude code

codex

cursor

langgraph

opencode

claudecode

## Work experience

Data Scientist at WebMD, Dec 2024 \- Present · 1 yr 9 mos, Remote, Architected scalable analytics pipelines using Python, SQL, Google BigQuery, and Vertica to process large\-scale pharmaceutical datasets \(Rx, Claims, DX\), reducing campaign measurement turnaround time by 60% \(from 5 to 2 days\)\. Developed a GenAI\-powered analytics assistant utilizing LangChain and LLMs to automate text\-to\-SQL translation for business queries, achieving 85%\+ accuracy and reducing manual ad\-hoc workload by nearly 60%\. Engineered geospatial clustering algorithms to construct "geodomes" from raw HCP address data, optimizing field force deployment by identifying high\-density physician clusters and reducing travel inefficiencies\. Led statistical impact measurement for multi\-channel digital campaigns using ANCOVA modeling and test\-control matching to quantify incremental NRx/NBRx lift and ROI for pharmaceutical clients\.

Trainee Data Scientist at Rakuten India, May 2024 \- Dec 2024 · 8 mos, Bengaluru, Developed a specialized Financial BERT model for short\-text classification, achieving 91\.35% accuracy and significantly outperforming the baseline JLBERT model \(88\.05%\)\. Fine\-tuned Japanese LLMs \(Mistral, ELYZA\-Llama\-2, Youri\) for domain\-specific financial tasks, optimizing model performance to reach 91\.05% accuracy\. Engineered a Multi\-Agent System using CrewAI, LangChain, and OpenAI API for the "AI Powered E\-Commerce Consultant," which was shortlisted in the Top 100 at Rakathon\. Built and deployed the Genre Classification Portal, a production tool enabling bulk merchant categorization with confidence scoring and active feedback loops\.

Postgraduate Researcher at AI\-NLP\-ML Research Lab IIT Patna, Jul 2023 \- May 2024 · 11 mos, Patna, Developed NLP classifiers using BERT\-Base and DistilBERT to detect and categorize patient complaints with 82\.95% accuracy\. Leveraged GenAI for Healthcare: Implemented and evaluated BioMistral, Falcon, and Zephyr models to handle complex linguistic nuances in medical feedback\. Data Engineering: Built a robust scraping framework with Python and BeautifulSoup to aggregate 7\.5k raw reviews for model training\. Managed Data Annotation: Oversaw the creation of a high\-quality "Gold Standard" dataset through rigorous human annotation protocols\.

Training and Placement Co\-ordinator at Indian Institute of Technology, Patna, Jun 2023 \- Apr 2024 · 11 mos, Patna, Bihar, India

Data Analyst at Thermax Limited, Dec 2019 \- Dec 2020 · 1 y, Pune, Maharashtra, India

## Education

Master of Technology \- MTech, Artificial Intelligence, Indian Institute of Technology, Patna

Bachelor of Engineering \- BE, Maharashtra Institute of Technology

## Public links

- github: https://github\.com/pratik1208

[View the original profile](https://tal.club/meet/pratik-marudwar)

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