---
title: "Suhag Gajjar - Senior Data Scientist/Value Creation Lead in Greater Bengaluru Area | Tal"
description: "Meet Suhag Gajjar, Seasoned Data Scientist | AI & ML Lead | Masters in AI&ML @IIT Kanpur based in Greater Bengaluru Area. AI stack includes github copilot, hugging face, and langchain. Explore public work links including github."
image: "https://tal.club/meet/suhag-gajjar/share-image"
---

# Suhag Gajjar on Tal

## Headline

Seasoned Data Scientist \| AI & ML Lead \| Masters in AI&ML @IIT Kanpur

## About

Senior Data Science Leader with nearly a decade of experience in designing, building, and deploying production\-grade machine learning and AI solutions across retail, FMCG, hospitality, and payments industries\. Strong background in time\-series forecasting, recommender systems, and applied deep learning, with proven ability to lead cross\-functional teams and translate complex business problems into scalable data\-driven systems delivering measurable business impact\.

## Location

Greater Bengaluru Area

## AI stack

github copilot

hugging face

langchain

langgraph

ollama

openai

## Work experience

Senior Data Scientist/Value Creation Lead at Ingenius Technologies and Consulting, Sep 2023 \- May 2025 · 1 yr 9 mos, Gandhinagar, Led a cross\-functional team of 7 data scientists and engineers to design and deliver 2 production\-grade AI and machine learning products, spanning forecasting, generative AI–driven insights, and decision\-support systems\. Commodity Price Forecasting \- Global FMCG Client: Architected and delivered a commodity price forecasting solution for a global FMCG client using LSTM\-based time series models, augmented with sentiment analysis and scenario modeling, achieving \~92% forecast accuracy \(MAPE\) and supporting procurement and pricing decisions\. Generative AI\-based Insight Generation Platform: Designed and led the development of a generative AI–based platform that produces customized, context\-aware use case reports from user inputs, leveraging OpenAI APIs to automate insight generation and reduce decision turnaround time for business users\. Sustain Program Transition & Knowledge Transfer: Led the transition of a multi\-project sustain program to a new vendor team, overseeing structured knowledge transfer across initiatives and coordinating with 14 stakeholders across three organizations to ensure continuity and delivery stability

Project Lead at Impact Analytics, Feb 2019 \- May 2020 · 1 yr 4 mos, Bangalore, Drove the delivery of a recommender engine and an inventory replenishment solution for the largest jewelry retail chain in the US, working closely with a six\-member data science team\. Combined hands\-on model development with team mentorship, project and resource management, and direct client engagement to ensure successful delivery and alignment with business objectives\.

Lead Data Scientist at Impact Analytics, Mar 2018 \- Jan 2019 · 11 mos, bangalore, Inventory Replenishment Platform: Designed and delivered an ensemble time series forecasting solution for weekly store–SKU level sales, evaluating ARIMA\-based models and enabling inventory planning across 1,500\+ stores, resulting in approximately $1M in annual cost savings through reduced on\-hand inventory\. Recommendation Engine: Built a hybrid recommender application leveraging market basket analysis and a VGG19\-based image similarity neural network model, improving key retail performance metrics such as Units Per Transaction \(UPT\) and Average Unit Revenue \(AUR\) across a 10\-store pilot over a 15\-week period\.

Associate at TheMathCompany, Aug 2017 \- Nov 2017 · 4 mos, bangalore, Helping Fortune 500 business organizations in setting up the in\-house analytics capabilities\(GICs of analytics\) which involves design, training and execution of analytics\.

Apprentice leader at Mu Sigma Inc\., Jan 2016 \- Jul 2016 · 7 mos, Bangalore, Built robust analytical solutions to assist clients to make real time business decisions in various areas like Marketing, Sales, Supply Chain Management, Inventory Management & Cost Optimization 1\. American multinational networking technology conglomerate Face recognition engine: Built a face recognition solution for 50 employees using SIFT algorithm which helped the client to achieve >90% accuracy in live testing\. Helped the client in exploring deep learning algorithm using frameworks like Tourch, Keras, Theano & Tensorflow

Senior Business Analyst at Mu Sigma Inc\., Jan 2014 \- Dec 2015 · 2 yrs, Bengaluru Area, India, Proactively Led 3\-member delivery team with responsibilities that include client communication, problem\-solving, statistical analysis, team mentoring & insight generation Client experience : 1\. Global leader in payment technology Fraud detection: Devised an algorithmic scalable ecosystem for the Merchant Services group to generate higher accuracy in detecting online CNP fraud which ultimately led to \~20% reduction in manual effort & improved accuracy by reducing false negative by 10% 2\. American gaming corporation that owns over 50 casinos across US, Europe & Asia Customer segmentation for marketing campaign: Devised a holistic customer life cycle algorithm for the casino to aid their targeting strategy Incentive compensation tracker: Led the team to automate & streamline the process of providing incentives based on employee performance data which enabled the casino to save up to 60% of their time 3\. American bank offering personalized banking and wealth management services Customer data insights: Devised a system using network theory to identify linkages among customers aiding relationship managers to improve personalized marketing Deposits insurance optimization: Created a framework to maximize \# of fully insured accounts under FDIC rule

Business Analyst at Mu Sigma Inc\., Jun 2012 \- Dec 2013 · 1 yr 7 mos, Bangalore,india, Building analytical solutions with hands on experience across various verticals 1\. Online division of an American retail giant Business report automation: Automated and streamlined the process of generating weekly/monthly CXO level business reports from Greenplum database which helped the client in reducing execution time by 70% 2\. American gaming corporation that owns over 50 casinos across US, Europe & Asia Blackjack Simulation: Simulated a Blackjack game in JAVA & SAS to determine the least probable dealer card combination in 1Bn hands to introduce a payout of $1Mn on $5 bet and the casino patented the solution Resource optimization & Revenue management: Developed time series forecasting model using ARIMAX with >90% average accuracy to optimize in\-house resources & revenue across all properties Promotional impact assessment: Built a solution to understand the impact of reel rewards on customer behavior and helped the casino to identify customer segments with higher ROI

## Education

Master's degree, Artificial Intelligence and Machine Learning, INDIAN INSTITUTE OF TECHNOLOGY KANPUR

Bachelor of Technology \- BTech, Information Technology, Nirma University

## Public links

- github: https://github\.com/SuhagGajjar

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

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