---
title: "Shourjya Bhattacharjee - Applied Scientist in Bengaluru | Tal"
description: "Meet Shourjya Bhattacharjee, Data Science @ GoKwik | Machine Learning | GenAI based in Bengaluru. AI stack includes claude code, hugging face, and langchain."
image: "https://tal.club/meet/shourjya/share-image"
---

# Shourjya Bhattacharjee on Tal

## Headline

Data Science @ GoKwik \| Machine Learning \| GenAI

## About

Data Scientist with strong hands\-on experience in Applied Machine Learning, Deep Learning, Mathematical Optimization, and Backend Engineering, recognized for creating impactful analytical models that support strategic decision\-making\. Proficient in Python \(Polars, PySpark, XGBoost, PyTorch, JAX, FastAPI, vLLM\), Java, SQL, and Docker\. Skilled in Statistical Modeling, End\-to\-End ML System Development, and ML Model Deployment into Production \(MLOps\)\. Passionate about finding innovative, robust and scalable solutions to complex business problems using modern mathematical and statistical techniques\.

## Location

Bengaluru

## AI stack

claude code

hugging face

langchain

ollama

Qwen

vLLM

## Work experience

Applied Scientist at GoKwik, Jul 2024 \- Present · 2 y 2 mo, Bengaluru, Karnataka, India, Checkout Product Recommendations/Personalization, Customer LTV Modeling, Ads Optimization

Data Scientist \(Marketing Mix Modeling, Simulation, Optimization\) at MSD, Jun 2023 \- Nov 2023 · 6 mos, Pune District, Maharashtra, India, Project: Price Simulation & Loss Forecasting • Built a web\-based tool that simulates drug prices based on real\-world economic scenarios and forecasts the potential impact of price fluctuations on product margins\. This tool enabled scenario planning and directly supported strategic decision making, leading to a 5% \($200M\) correction in the forthcoming marketing budget\. • Received Merck INSPIRE recognition twice from senior colleagues for making significant and impactful contributions that drove the overall success of the project\. Project: Marketing Mix Modeling & Promotion Investment Optimization • Developed Marketing Mix Models using panel data and advanced regression techniques \(Pooled OLS/Ridge\) for attribution of sales figures across various digital marketing channels\. • Processed big data comprising up to 11 million rows and 7 thousand columns, leveraging AWS Glue and PySpark to enhance computational speed, efficiency, and scalability\. • Developed GPU\-accelerated code using JAX to implement a batch matrix multiplication based approach for data transformation, achieving a 96% reduction in code execution time from 25 minutes to 1 minute\.

Research Intern \(Scientific Computing\) at Indian Institute of Management, Indore, May 2023 \- Jun 2023 · 2 mos, • Implemented finite difference algorithms and conducted data\-driven simulations using Python to model traffic flow\. • Developed GPU\-accelerated code using JAX to optimize convolution operations, reducing code execution time by 60%\. • Automated code execution tasks and designed a modularized code structure, improving workflow efficiency and reusability\.

## Education

Dual Diploma, Programming and Data Science, Indian Institute of Technology, Madras

Master of Science \- MS, Data Science and Management, Indian Institute of Technology, Indore

[View the original profile](https://tal.club/meet/shourjya)

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