Data Scientist with strong experience in AI/ML, Generative AI, and IoT-based optimization systems. Skilled in developing and deploying scalable solutions that automate supply chain and inventory processes, reduce Days Inventory Outstanding (DIO), and enable data-driven decision-making across enterprises.
Data Scientist
I'm a Data Scientist at MSys Technologies with 5+ years of experience in developing AI/ML-driven systems for supply chain, IoT, and warehouse optimization. I led the development of an Inventory Optimization Platform that reduced DIO from 120 to 60-75 days, and integrated GenAI-powered chatbots using LangChain and OpenAI.
My expertise spans across Generative AI, IoT-based smart warehouse systems, energy prediction, and microservices architecture. I'm passionate about building scalable solutions that automate supply chain processes and enable data-driven decision-making across enterprises.
Major Projects
Years Experience
Technologies
AI-powered inventory management platform designed to reduce DIO and automate SIOP decision-making. Integrates curated insights, push/pull/cancel recommendations, and a GenAI chatbot for natural language queries and SQL generation using LangChain and OpenAI.
Developed predictive models using IoT sensor data for HVAC and lighting systems to forecast energy usage. Integrated Bayesian Optimization for recommending energy-efficient configurations and served insights through FastAPI microservices and websockets.
The University of Texas at Austin (via Great Learning)
GPA: 4.15
University of Petroleum and Energy Studies, Dehradun, Uttarakhand
GPA: 7.56
May 2023
April 2023
August 2020
Coursera - August 2019
UPES - February 2019
Technocruise Dehradun, IIT Kanpur - October 2018
I'm always interested in discussing new opportunities, interesting projects, or just having a chat about data science and machine learning.