Headline

Data Science | Optimization | Purdue, IIT KGP

About

Currently working in Walmart Global tech as senior data scientist. Working on two broad domains: (1) Last mile delivery aimed at minimizing last mile delivery cost for orders getting delivered from stores and (2) warehouse optimization aimed at solving different warehouse - related problems like readying pallets for stores, increasing efficiency in fulfillment centers and routing within warehouse Worked previously in Samsung Research India in Data intelligence Lab. My works involves two broad fields (1) Recommender Systems (product recommendation, product bundling, Language models) and (2) Supply Chain Analytics (optimization) for warehouse allocation, inventory optimization and Estimating EDD. Before Samsung, I was working as a postdoctoral scholar in UC Davis, Graduate School of Management. I am working on understanding consumer buying behavior for optimal marketing mix using operations research and machine learning techniques. I also taught in Masters of Business Analytics program in San Francisco I got my PhD at Purdue University in Industrial Engineering. I worked in dynamic decision making with applications in the smart grid scenario. During my research, I focused on stochastic optimization, simulation, and reinforcement learning.

Location

Bengaluru

AI stack

antigravity

claude code

codex

deepseek

kimi

notebooklm

Work experience

Data science (Operations Research) at Walmart Global Tech India, Jan 2025 - Present · 1 yr 8 mos, Bengaluru, Karnataka, India, Working on two domains: 1. Last Mile Delivery: Routing problem aimed at minimizing overall last mile delivery cost (capacited TSP and VRP) 2. Warehouse Optimization: store level routing for building store ready pallets in automated warehouses, inventory planning for building store ready pallets and dynamic routing decisions in fulfillment centers for packing items in AS/RS totes

Senior Data Scientist at Walmart Global Tech, Jan 2025 - Present · 1 yr 8 mos, • Deployed an optimization model to integrate store layout in Pallet optimization model. Project is estimated to save 1 hour/day/associate time, resulting in $30million savings per year • Last Mile Delivery Built novel algorithm to solve multi‑van last mile delivery optimization problem. The algorithm out‑perform existing algorithm in 20% cases, resulting in $4million savings per year • Designed angle based clustering‑assignment algorithm used to solve store‑order allocation based on van direction, estimated to save $ 3M per year on vehicle allocation • Agentic LLMs Building an agentic application to respond to user queries based on different source tables. (Ongoing)

Senior Chief Engineer at Samsung R&D Institute India, Mar 2024 - Jan 2025 · 11 mos, Bengaluru, Karnataka, India · Hybrid, Building GenAI powered applications --conversational search, conversational chatbots, E-Promoter Building Recommender systems for different consumer touchpoints during purchase journey

Chief Engineer at Samsung R&D Institute India, Aug 2022 - Jan 2025 · 2 yrs 6 mos, Bengaluru, Karnataka, India · Hybrid, Working as Engineer for Data Intelligence Lab (Big Data Services) in SRIB. Projects include recommender systems, pricing and building capabilities for data driven decisions .in Supply Chain operations.

Postdoctoral Scholar at University of California, Davis, Dec 2018 - Aug 2022 · 3 yrs 9 mos, Davis, California, Research: - Understanding consumer behavior for Optimal Marketing mix - causal analysis on impact of app localization using random experiment and behavior change - mapping customer journey to understand (and predict) why users uninstall the app Teaching: Master of Science in Business Analytics (San Francisco)

Research Assistant at In-MaC Operations research Consultant, Jun 2018 - Dec 2018 · 7 mos, West Lafayette, - Building a discrete event simulation model for aero industries - The project aims at optimizing process flow to minimize work-in-process inventory - The project will be continued by colleagues till March 2019

Research Assistant at In-MaC Operations research Consultant, Jan 2018 - Oct 2018 · 10 mos, West Lafayette, Working with Batesville products for optimal manufacturing scheduling aimed at: - maximizing throughput and weekly revenue - maximizing machine and worker utilization - minimize tardiness The project involves: - developing a JAVA based desktop application for reading the input data and obtaining the optimal weekly schedule based on the multiple objectives - estimate the weekly revenue and help the client select the "best" worker schedule (4 - day/ 5 - day/ 6 - day schedule) - the project is estimated to improve the machine shop productivity by 30% through increased machine utilization

Education

Doctor of Philosophy, Industrial Engineering, Purdue University

PhD, Industrial Engineering (Operations Research), Purdue University