---
title: "Mohit Kukkar - Data Science Manager in Bengaluru | Tal"
description: "Meet Mohit Kukkar, Sr. Scientist at Uber || Ex- Gojek,Blinkit based in Bengaluru. AI stack includes claude, cursor, and gemini."
image: "https://tal.club/meet/mohit-kukkar/share-image"
---

# Mohit Kukkar on Tal

## Headline

Sr\. Scientist at Uber \|\| Ex\- Gojek,Blinkit

## About

A highly motivated analytics professional with 7 years of experience in delivering tangible insights in domains varying from supply chain planning to pharmaceutical sales operations\.

## Location

Bengaluru

## AI stack

claude

cursor

gemini

notebooklm

ChatGPT

Glean

## Work experience

Data Science Manager at Crunchyroll, Aug 2026 \- Present · 1 mo, Hyderabad· Hybrid

Sr\. Scientist at Uber, Dec 2024 \- May 2026 · 1 y 5 mo, Bengaluru · Hybrid, Merchant Funded Vouchers • Designed and executed controlled experiments \(A/B tests\) to evaluate voucher\-based alternatives to cash refunds, developing user\-centric solutions that improved adoption while maintaining positive unit economics for merchants\. • Reduced merchant chargebacks by 17% and drove \+2\.75% incremental gross revenue Fault Attribution Model • Built a fault attribution model in collaboration with Risk and Ops by codifying 40\+ checks from manual chargeback workflows, enabling migration from heuristic policies to a model\-driven system with 89% precision and 72% recall\. • Validated via shadow deployment, reducing unfair chargebacks by 50% and improving merchant experience, evidenced by a 32% drop in dispute submission rate\. • Designed multi\-armed A/B experimentation framework to assess merchant response, calibrate model confidence, and optimize trade\-offs between merchant experience and financial loss\.

Lead Data Scientist \(Manager\) at foundit, May 2023 \- Aug 2024 · 1 yr 4 mos, Bengaluru, Successfully managed and mentored a team of 5 senior and junior data scientists promoting a collaborative and high\-performing work environment Seeker Search: • Migrated seeker search from classical BM25 based lexical matching to Hybrid Search using all\-mpnet\-base\-v2 model to overcome limitation of “Term Frequency” in BM25 and thereby increase relevance in search results • Hybrid search led to increase in average no\. of results per query by 52% and reduction in sparse results by 9%, significantly enhancing user experience Seeker Registration Flow \- Enhancement: • Improved the consumption of resume parser by replacing fuzzy matching on master dataset with SBERT all\-MiniLM\-L12\-v2 Bi\-encoder based similarity algorithm leading to increase in fill rate by 32% at an overall level, streamlining the registration flow and improving data accuracy Profile Matching: • Developed two step methodology to identify duplicate profiles in two databases by leveraging Elastic Search BM25 algo to reduce search space to \~0\.01% keeping recall at \~51% and matching profile attributes with high precision of \~93% using USE multilingual large V3 encoder • Model led to reduction of Unified database by 4\.34% by matching same candidate profiles in individual databases Prep AI: • Integrated OpenAI Text\-DaVinci model \(GPT 3\.5\) to generate personalised interview questions for each seeker\-job pair at scale serving 200k apply/day leading to increase in repeat customer engagement by 3\.4%

Remote Instructor \- Data Science at Scaler, Dec 2021 \- Jun 2023 · 1 yr 7 mos, Remote

Data Scientist II at GoTo Group, Jul 2021 \- May 2023 · 1 yr 11 mos, Bengaluru, Karnataka, India, Merchant Highlights: • Deployed an information retrieval pipeline for dish names and key phrases using dependency parser based rules along with their respective sentiment with \~ 94% accuracy using Word2Vec embedding based XGBoost Classifier\. • The treatment group with new UX based on the above mentioned items showed an improvement of 0\.4% in CTB \(Click to book ratio\) and 3\.4% in CTR \(Click through rate\) Recommendation Engine \- Candidate Generator : • Developed a two tower neural network architecture retriever based on user and merchant embeddings to narrow down the candidate pool the re\-ranker model by 86% and with recall of 71%

Data Scientist at Blinkit, May 2018 \- Jun 2021 · 3 y 1 mo, Bengaluru

Decision Scientist at Mu Sigma, Nov 2016 \- May 2018 · 1 y 6 mo, Bengaluru

## Education

Bachelor of Engineering \(B\.E\.\), Electrical Engineering, Thapar Institute of Engineering & Technology

Khalsa Academy

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

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