Principal Data Scientist @ Lowe’s Companies, Inc. || Fellow (PhD) in Operations Management (IIM-C) || CFA(USA) || FRM(GARP, USA) || Operations Research, AI/ML Expert ||

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

Amritsar, Punjab, India

Bengaluru Area, India

Bengaluru, Karnataka, India







Fellow in Management (PhD), Operations Management
Indian Institute of Management, Calcutta

Bachelor of Engineering - BE, Electrical Engineering
Jadavpur University
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Download Tal BossPrincipal Data Scientist @ Lowe’s Companies, Inc. || Fellow (PhD) in Operations Management (IIM-C) || CFA(USA) || FRM(GARP, USA) || Operations Research, AI/ML Expert ||
Soumojit is passionate about data based decision making and brings an expertise in Operations Research (OR)/ Actuarial Modelling/ Artificial Intelligence, handling end-to-end implementation of advanced Optimization / Machine Learning capabilities, with rich experience of delivering quantitative models across multiple domains and various diverse range of industries including Supply Chain & Inventory Optimization, Pricing Optimization, Ad-Tech Demand Allocation, Airlines Revenue Optimization and Actuarial modelling. Soumojit has completed PhD in Operations Management from IIM Calcutta in 2012. His thesis topic is titled "Mathematical Programming for Product Line Decisions: An Integrated Approach". The thesis revolves around modelling how firms will decide on the optimal product line to maximize profit, revenue, market share when faced with constraining situations like diverse preference patterns' from customers, increasing cost to improve quality, supply chain complications and underlying market forces. The thesis is built up of four Operations Research (OR) models to facilitate the decision making process of the firm. Soumojit is vastly experienced in handling large scale optimization and built reusable and software products in Python, Java using optimizers like ILOG CPLEX,Gurobi, X-PPRESS aimed for industrial use and decision making in proper planning. To solve the large scale optimization, most of the times it becomes inefficient to solve through commercial solvers. He has developed heuristics or algorithms to solve these intricate NP-hard problems, and all of them have been published in highly acclaimed international journals in Operations Research(OR) area. Soumojit is expertised in developing and delivering software products implemented programming languages like Python, Java and well-versed to state-of-the-art Machine Learning, Deep Learning, NLP and Computer Vision techniques. Previously he has completed Bachelors of Engineering (B.E.) in Electrical Engineering from Jadavpur University, Kolkata. He is also in the practice of periodically providing trainings in the above mentioned areas to both corporates and academic institutes. Recently, he has completed CFA charter from CFA Institute, USA and FRM from GARP, USA.
Bengaluru
langchain
langgraph
openai
ChatGPT
OpenAI Agents SDK
PydanticAI
Principal Data Scientist at Lowe's Companies, Inc., Jul 2024 - Present · 2 yrs 3 mos, Bengaluru, Karnataka, India, Led the development of Lowe’s Supply Chain Suite, by automating capacity allocation among eligible transporters and production of optimal delivery plan using forecasting models and optimization via Gurobi & or-tools. Productionized Demand Forecasting Engine to predict product demand at SKU, category, channel, and regional levels and what-if simulation tools to optimize discount strategies and maximize margin impacting 2B $ savings. Built a LangGraph-powered AI Agent that slashed stockouts by ~30%; leveraged GPT-4o and MCP to autonomously query historical sales data from PostgreSQL, dynamically optimizing inventory buffer levels. Engineered a 95% accurate RAG text analytics platform utilizing LangChain and Pinecone vector databases to ingest and analyze millions of customer conversation logs; delivering automated operational insights. Lead and mentor a diverse team of 20+ AI professionals, of Data Scientists, Product Managers, Data & ML Engineers, Data Analysts and Consultants across the USA and India, fostering a collaborative and high-performance culture.
Principal Data Scientist at Walmart Global Tech India, Oct 2022 - Jun 2024 · 1 yr 9 mos, Bengaluru, Karnataka, India, § Built a LangGraph agentic workflow using MCP to automate multi-billion-dollar ad serving plans by linking LLMs (Gemini 1.5 Pro) with internal databases. Integrated Chroma DB and RAG for semantic retrieval. § Architected online Ad-Tech Forecasting pipeline for high-dimensional impression data (hundreds of features, trillions of attribute combinations), estimating supply impressions for promised delivery quotation.
Instructor at Intellipaat, Oct 2022 - Oct 2022 · 1 mo, Bengaluru, Karnataka, India, Online training on "Statistics" & "Linear Algebra" for students enrolled for Data Science course all over India
Visting Faculty at Indian Institute of Management Amritsar, Dec 2020 - Feb 2021 · 3 mos, Amritsar, Punjab, India, Taught “Metaheuristics” (30 hour) course for Term-VI PGP students in IIM Amritsar (2021) with top rating
Lead Data Scientist at Target, Mar 2019 - Oct 2022 · 3 yrs 8 mos, Bengaluru Area, India, § Designed & Implemented a Reinforcement Learning agent which selects optimal appliances settings minimizing total power consumptions across all Target. stores, saving up to $40 million: patented as Energy Optimization (CIP) OPTIMIZATION ENGINE FOR ENERGY SUSTAINABILITY U.S. Patent Application No. 18/771,862”. § Prototyped AI/NLP Python- based bot using RNNs and LSTM techniques to parse guest comments, assess sentiments and classify into pre-defined themes, finally responding in a standard manner or direct to necessary systems to respond
Lead Analyst - BI & A at Target, Apr 2016 - Mar 2019 · 3 yrs, Bengaluru, Karnataka, India, § Developed Target Promo Planning Calendar solution to optimize promotions offering, maximizing revenue lift, in a budget constraint, in Java framework, using Machine Learning, Genetic Algorithms and Branch & Bound implementation § Spearheaded R based Space Optimizer solution, by estimating the space/revenue relationship using Deep Learning, Random Forests, XGBoost and optimizing by GLPK solver recommending optimal space allocation at item/store level § Awarded the BI&A VP Award for leveraging deep math skills; build ML models making an impact of $60M sales lift § Implemented a Python-based deep learning solution using CNNs to parse scanned files of handwritten Delivery receipts
Fellow in Management (PhD), Operations Management, Indian Institute of Management, Calcutta
Bachelor of Engineering - BE, Electrical Engineering, Jadavpur University