---
title: "Amit Kumar - Principal Data Scientist in Greater Bengaluru Area | Tal"
description: "Meet Amit Kumar, Principal Data Scientist @MakeMyTrip || Ex - Poshmark || IIT Kanpur based in Greater Bengaluru Area. AI stack includes cursor."
image: "https://tal.club/meet/amit-kumar-59/share-image"
---

# Amit Kumar on Tal

## Headline

Principal Data Scientist @MakeMyTrip \|\| Ex \- Poshmark \|\| IIT Kanpur

## About

Data Scientist with 11\+ years building production\-scale ML systems across e\-commerce, fintech, and banking\. At Poshmark, I've had shipped systems spanning retrieval &amp; ranking, multimodal embeddings, pricing optimization, and fraud detection including work that drove \~$10M in fraud GMV reduction\. I enjoy taking ambiguous product problems and turning them into scalable ML solutions that move business metrics\. My technical interests span deep learning, representation learning, and LLMs, with a particular focus on contrastive learning, Retrieval and ranking\. At the core, I'm drawn to work that simplifies product journeys, improves user experience, and replaces manual processes with intelligent automation\. Open to interesting conversations around ML, AI, and impactful system design\.

## Location

Greater Bengaluru Area

## AI stack

cursor

## Work experience

Principal Data Scientist at MakeMyTrip, Jul 2026 \- Present · 2 mos, Bengaluru

Lead Data Scientist \(SSE ll\) at Poshmark, Jul 2025 \- Jul 2026 · 1 yr 1 mo

Lead Data Scientist \(SSE I\) at Poshmark, Aug 2021 \- Jul 2025 · 4 yrs

Lead Data Scientist at Sigmoid, Apr 2021 \- Jul 2021 · 4 mos

Senior Data Scientist at OneAssist Consumer Solutions, Jul 2018 \- Apr 2021 · 2 yrs 10 mos, Gurgaon, India, \-Working in liaise with engineering, product and operations team to improve customer experience and automate operations processes using Deep Learning and AI \-Mentors data scientists and interns on machine learning projects \-Built a Deep Learning pipeline that mimicked/automated manual customer on\-boarding process for mobile insurance and drastically brought down the processing time from up\-to 2 days to just 10 minutes \-Used predictive modeling to estimate the turn around time \(TAT\) for claim fulfillment that helped in improving customer experience, reducing the claim related calls at the customer care centers and improved rating of App on Playstore

Senior Strategy Analyst at Loylty Rewardz Mngt Pvt Ltd, Oct 2017 \- Jul 2018 · 10 mos, Mumbai Area, India, \-Worked with business, marketing and product team to deliver best experience of loyalty program for 1 Billion customers\. \-Responsible for managing redemption vertical in the data science team and increasing revenue from redemption of loyalty points\. \-Worked upon building predictive models like customer acquisition, customer retention and Merchandise/product recommendation \-Used machine learning models to identify target group for campaigns that saved avg marketing cost by roughly 15\-20% \-Contributed in setting up analytics infrastructure\.

Strategy Analyst at Loylty Rewardz Mngt Pvt Ltd, Jun 2015 \- Sep 2017 · 2 yrs 4 mos, Mumbai, Maharashtra, India, \-Responsible for helping business and marketing team in making data driven decisions\. \- Devised and worked upon targeted marketing campaigns \- Worked upon campaign attribution model \- Automated campaign efficacy reports \-Gained significant experience in predictive analytics and machine learning and holds end\-to\-end ownership of projects \- customer acquisition and retention models\. \-Built a recommendation system for suggesting relevant merchandise products to customers and is currently being used in pushing product recommendations to customers via email\. \-Automated a bunch of Ad\-hoc requests and manual processes/tasks using python\. Relevant Technologies: Python, R, SQL Server, PostgreSQL\.

## Education

Bachelor of Technology \(B\.Tech\.\), Electrical and Electronics Engineering, INDIAN INSTITUTE OF TECHNOLOGY KANPUR

Science, St\. Joseph Sr\. Sec\. School

[View the original profile](https://tal.club/meet/amit-kumar-59)

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