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