---
title: "Mayur Shinde - Data Scientist III in Maharashtra | Tal"
description: "Meet Mayur Shinde, Data Scientist | Supply Chain AI Expert | Building “Digital Brains” for Global Ops | Deep Learning & GenAI | IIT Kharagpur based in Maharashtra. AI stack includes antigravity and codex."
image: "https://tal.club/meet/mayur-shinde/share-image"
---

# Mayur Shinde on Tal

## Headline

Data Scientist \| Supply Chain AI Expert \| Building “Digital Brains” for Global Ops \| Deep Learning &amp; GenAI \| IIT Kharagpur

## About

I am a Data Scientist with 4\+ years of experience at Hewlett Packard Enterprise \(HPE\), specializing in building global\-scale AI/ML solutions that bridge the gap between research and production\. My Core Focus: While many build models in a vacuum, I specialize in deploying them directly into the o9 Digital Brain\. I have deep expertise in bridging Python\-based Deep Learning with live enterprise planning systems \(IBPL\), ensuring that complex AI actually drives business decisions\. Key Highlights: Scale: Manage forecasting logic for a global, high\-volume product portfolio spanning thousands of SKUs\. Innovation: Architected custom Transformer\-based and Ensemble forecasting frameworks that significantly outperformed legacy statistical systems\. Transformation: Currently building GenAI agents \(LLMs \+ RAG\) to democratize supply chain analytics, allowing planners to interact naturally with data\. Technical Stack: Python, o9 Solutions \(IBPL\), SQL, PySpark, Docker, Streamlit, Deep Learning \(TensorFlow/PyTorch\), Supply Chain Analytics\. Open to connecting with leaders in Supply Chain AI, Planning Transformation, and Retail Analytics\.

## Location

Maharashtra

## AI stack

antigravity

codex

## Work experience

Data Scientist III at Hewlett Packard Enterprise, Jul 2025 \- Present · 1 yr 2 mos, Bengaluru, Karnataka, India, Leading R&amp;D initiatives for the Global Operations Data Science team, focusing on "Digital Brain" implementations and next\-generation AI architectures\. GenAI &amp; LLM Development: Architecting conversational analytics agents using Large Language Models \(LLMs\) and RAG \(Retrieval\-Augmented Generation\) to democratize supply chain data for non\-technical planners\. Deep Learning Strategy: Spearheading the transition from traditional statistical forecasting to Transformer\-based architectures, significantly improving accuracy for high\-volatility product lines\. MLOps Leadership: Standardizing end\-to\-end machine learning pipelines using Docker, Git, and CI/CD best practices, ensuring that research models are scalable, reproducible, and production\-ready\.

Data Scientist II at Hewlett Packard Enterprise, Jun 2022 \- Jun 2025 · 3 yrs 1 mo, Bengaluru, Karnataka, India, Served as a Full\-Stack Data Scientist bridging the gap between advanced Python research and live enterprise planning systems \(o9 Solutions\)\. Full\-Stack o9 Deployment: Integrated custom Order\-Based ML algorithms directly into the o9 Digital Brain using IBPL \(Internal Business Programming Language\)\. Successfully closed the loop between offline Python experimentation and live ERP execution\. Advanced Forecasting Architecture: Engineered a custom Deep Learning framework \(utilizing Attention mechanisms\) that outperformed legacy statistical models, reducing forecast error \(MAPE\) by \~25% across a global portfolio\. Ensemble Modeling at Scale: Built a dynamic model selection engine using Dynamic Time Warping \(DTW\) clustering to group products by demand pattern, applying LightGBM and Ensemble Regressors to 50,000\+ SKUs\. Supply Chain Resilience: Developed predictive alert systems to monitor inventory health and lead\-time variability, providing planners with early warning signals to prevent stockouts and optimize allocation\.

Data Science Intern at Hewlett Packard Enterprise, Feb 2021 \- Aug 2021 · 7 mos, Bangalore Urban, Karnataka, India, Automated Forecasting Interfaces: Developed interactive dashboards using Flask and Dash to help the Center of Excellence visualize and compare multiple forecast strategies \(Seasonality vs\. Grouping\) in real\-time\. Data Pipeline Optimization: Assisted in streamlining data ingestion processes for the Global Operations team, reducing manual reporting time\.

Data Science Intern at Comsense Technologies, Apr 2020 \- Jul 2020 · 4 mos, •Worked with a team of Machine Learning enthusiasts to build an end to end product which consumer demands\. •Developed natural language processing based resume parsing project for SpencerStuart helping in reduction of time consumption as well as increase in efficiency in recruitment resulting in automation in hiring process\. •Built a Named Entity Recognition Model using Spacy library for extraction of features from resumes and job description and also build a scoring and ranking system for resumes giving list of candidates with scores generated according to there profile for job description\.

Associate Manager at Entrepreneurship Cell, IIT Kharagpur, Oct 2018 \- Apr 2019 · 7 mos, Kharagpur Area, India, • Responsible to look after associations with various corporate companies, add to the financial support of Global Entrepreneurship Summit 2019 \(a 3\-day summit of prominent entrepreneurs and workshop\) and to look after the media associations for the summit\. • Responsible for contacting and successfully associating with various companies\. • Responsible for the corporate branding at IIT Kharagpur during Global Entrepreneurship Summit 2019 through different online and offline channels\.

Associate Member at Entrepreneurship Cell, IIT Kharagpur, Mar 2018 \- Oct 2018 · 8 mos, Kharagpur I, India, • Responsible for conducting the Nagpur Chapter of Entrepreneurship Awareness Drive 2018, which is a PAN India Initiative through which E­cell, IIT Kharagpur promotes Entrepreneurship by arranging a series of Guest Lectures, Panel Discussions &amp; Workshops in several cities across the country\. • Solely Responsible for managing the Sponsorship, Publicity, Media Associations &amp; Event Structure of EAD Nagpur 2018\. • Adopted effective promotional techniques to obtain a massive 2,500\+ registrations for the event, and the event saw a participation of about 1,200 students from Nagpur\. • Led and Managed a team of 13 Campus Ambassador under myself for conducting the EAD NAGPUR 2018\. • The event turned out to be a grand success with numerous media articles, live streaming on inBCN TV and valuable support from sponsors\.

Member at R\.P\.Hall IIT Kharagpur, Sep 2017 \- Oct 2017 · 2 mos, Ad\-Design Team, Member of gold winning team of Ad\-Design Competition 2017\-18

## Education

Bachelor of Technology, Quality Engineering And Design Manufacturing, Indian Institute of Technology, Kharagpur

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

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