---
title: "Harsh Singh Chauhan - Manager - Data Science in Pune Division | Tal"
description: "Meet Harsh Singh Chauhan, Data Science Manager @ bluCognition | Machine Learning · ML Platform Engineering · Generative AI · AWS | Entity Resolution at Scale based in Pune Division. AI stack includes anthropic apis, antigravity, and claude code."
image: "https://tal.club/meet/harsh-singh-chauhan/share-image"
---

# Harsh Singh Chauhan on Tal

## Headline

Data Science Manager @ bluCognition \| Machine Learning · ML Platform Engineering · Generative AI · AWS \| Entity Resolution at Scale

## About

I build and lead the teams and platforms that turn messy, large\-scale data into production ML businesses can actually use\. Over 6\+ years across BFSI, FMCG, and Media & Entertainment, I've moved from building models to architecting full ML ecosystems and leading the cross\-functional teams that ship them\. Today I lead a 12\+ person function at bluCognition, owning the technical roadmap, cloud architecture, and delivery for a client\-facing, multi\-tenant ML platform that lets enterprise clients match portfolios against tens of millions of records and train their own credit\-risk models — without engineering hand\-holding\. What I care about: entity resolution at scale pragmatic, low\-maintenance architecture with cost as a first\-class constraint; applied Generative AI on real problems, not demos; and growing people through hiring and mentoring\.

## Location

Pune Division

## AI stack

anthropic apis

antigravity

claude code

claude

elevenlabs

gemini

glama

grok

lovable

manus

notebooklm

notion

openai

replit

claudecode

Bolt\.new

ChatGPT

ChatGPT Images

## Work experience

Manager \- Data Science at bluCognition, Feb 2026 \- Present · 6 mos, Pune District, \- Lead architecture, delivery, and cost governance of a client\-facing, multi\-tenant ML platform on AWS \(EKS, AWS Batch, SQS, microservices\) enabling enterprise clients to match portfolios against millions business records and train custom credit\-risk models independently\. \- Designed an always\-on, in\-memory matching service pairing search\-based candidate retrieval with fuzzy scoring for sub\-second entity resolution, with per\-client data isolation on PostgreSQL\. \- Built automated end\-to\-end ML pipelines with built\-in AUC/KS reporting and governed artifact storage\. \- Lead a cross\-functional team of 12\+ across Data Science, Product, Modeling, Engineering, and QC; present architecture and roadmap proposals to executive leadership\.

Assistant Manager \- Data Science at bluCognition, Sep 2024 \- Jan 2026 · 1 yr 5 mos, Pune District, \-Built a large\-scale entity\-resolution engine on millions records, cutting runtime from \~50 hours to 5 hours via advanced blocking, fuzzy matching, and graph\-based clustering\. \-Designed a persistent unique\-identifier system for U\.S\. small businesses with an automated weekly incremental pipeline for stable identity assignment across refreshes\. \-Led cross\-dataset entity matching at scale using a multi\-stage progressive pipeline with custom business\-rule logic for edge cases\. \-Architected a credit\-bureau data ingestion and metrics platform — standardizing 130\+ source tables and 200\+ risk metrics per entity \(DuckDB, PySpark, Apache Iceberg\)\. \-Built and mentored the core data science team and led data/analytics engineering hiring\.

Senior Data Scientist at bluCognition, Feb 2023 \- Sep 2024 · 1 yr 8 mos, Pune, Maharashtra, India, \- Led and inspired a team responsible for building cutting\-edge Django APIs for data science models while managing the data science team to deliver exceptional results\. \- Worked on building innovative image detection models using advanced computer vision techniques that pushed the boundaries of what's possible\. \-Designed and developed sophisticated database structures that supported large\-scale data analysis and reporting, enabling actionable insights and smarter decision\-making\. \- Analyzed vast amounts of data using advanced statistical and machine learning techniques to uncover valuable insights and drive business growth\. \-Developed predictive models that accurately forecasted customer behavior, identified key risk factors, and optimized business processes for maximum efficiency and effectiveness\.

Data Scientist at Chhabra Infosolutions Pvt\. Ltd, Nov 2019 \- Nov 2020 · 1 yr 1 mo, New Delhi Area, India

Intern\- Data Analyst at Disney\+ Hotstar, Sep 2019 \- Nov 2019 · 3 mos, Mumbai, Maharashtra, India

## Education

Bachelor of technology, Electrical, Electronics and Communications Engineering, IMS Engineering College, Ghaziabad

[View the original profile](https://tal.club/meet/harsh-singh-chauhan)

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