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