Senior Data Scientist · AI/ML Leader

Turning Data
Into Business
Revenue.

10 years of transforming raw data into measurable outcomes — from reducing customer churn at Vodafone to driving campaign ROI at Home Depot and Office Depot. I build AI that pays for itself.

10⁺ Years in DS/AI

5⁺ CX Analytics

6 Enterprises Served

Let's Talk → See My Work

What I Bring to Your Team

Revenue Impact

Predictive Models That Convert

Lookalike and propensity models that identify high-value customers before they buy — deployed in production for Office Depot's monthly campaign cycles.

Customer Intelligence

Deep CX & Behavioural Analytics

5+ years decoding customer spending patterns, campaign responsiveness, and churn signals across retail, telecom, and fintech verticals.

GenAI & LLMs

AI Applications That Actually Work

Built Text2SQL, RAG pipelines, and LangChain-powered agents in production — not just prototypes. Tested across GPT-4, LLaMA, and domain-specific models.

End-to-End Ownership

From POC to Production

Led client requirement gathering, built proof-of-concepts, and deployed at scale — including computer vision systems that replaced manual QA at Mercedes-Benz R&D.

Measurable Results

Business Value I've Delivered

Every model I build is anchored to a business outcome — not just accuracy metrics.

🎯

↑ AOV

Average Order Value Growth

Propensity and lookalike models at Office Depot directly influenced AOV uplift by surfacing high-intent customers for targeted monthly campaigns.

📈

↓ CAC

Reduced Customer Acquisition Cost

Incrementality frameworks at Home Depot measured true campaign lift — eliminating wasted spend and proving ROI on new feature launches.

🏭

↓ QA Cost

Manufacturing Quality ROI

YOLO-V5 defect detection at Mercedes-Benz R&D replaced manual inspection workflows, significantly reducing workforce costs and improving defect catch rates.

⚡

Real-time

Streaming ML Pipelines

Built Apache Kafka-based real-time ML pipelines at Tata Technologies — enabling instant sensor failure detection and predictive maintenance at scale.

💬

NLP → SQL

Democratised Data Access

Text2SQL & Text2NoSQL applications at MarketsMojo put equity insights into plain English — reducing analyst dependency and accelerating decision cycles.

📡

Multi-region

Scalable Telecom AI at Vodafone

Transactional behaviour models deployed across multiple regions at VOIS India — powering Finance and CX decisions for millions of customers.

Career Timeline

10 Years, 6 Enterprises,
Consistent Delivery

A track record across telecom, retail, automotive, and fintech — always focused on business outcomes.

Jump To

VOIS India — Vodafone Intelligent Solutions

Lead Data Scientist · Manager

Dec 2024 — Present

Leading the Advanced Analytics & AI Tribe, delivering AI-driven insights across Finance and Telecom transactional domains for millions of customers across multiple regions.
Building transactional behaviour models that identify customer spending patterns, risk indicators, and campaign responsiveness — directly informing commercial strategy.
End-to-end ML workflow ownership: model training, deployment via Iguazio + Docker, and monitoring — ensuring production reliability and scalability.
Designing AWS QuickSight executive dashboards that translate complex model outputs into actionable business metrics for senior leadership.

PythonSQLOracle IguazioDockerAWS QuickSight Scikit-learnPandas

MarketsMojo — Fintech Research

Data Scientist · GenAI

Jun 2024 — Dec 2024

Built a production Text2SQL + Text2NoSQL + RAG application enabling non-technical analysts to query equity data in plain English — reducing analyst turnaround time significantly.
Evaluated and benchmarked GPT-4, LLaMA, and Palmyra Finance models for domain-specific financial language understanding.
Implemented Monte Carlo simulation for portfolio diversification analysis, delivering country-level risk insights to investment teams.

LangChainGPT-4LLaMA RAGMongoDBStreamlit NLP

Home Depot — Findability Sciences

Senior Data Scientist

Dec 2022 — Mar 2024

Owned end-to-end KPI monitoring (visits, revenue, AOV, CTR) for a high-traffic e-commerce platform, identifying seasonal demand cycles that shaped inventory and pricing strategy.
Built Prophet-based forecasting models capturing trend and seasonality, enabling accurate demand planning and reducing stockout events.
Designed an incrementality measurement framework to quantify the true revenue lift of marketing campaigns and new feature launches — eliminating guesswork from investment decisions.
Conducted pre- and post-launch analysis for website features, directly influencing the product roadmap through data-backed evidence.

BigQueryVertex AIProphet PythonTableauTime Series

Office Depot — CompuCom CSI Ltd

Data Scientist · CX & Marketing

Dec 2020 — Dec 2022

Developed propensity-based lookalike models that identified customers most likely to convert — powering monthly targeted campaigns and driving measurable Sales and AOV uplift.
Architected a multi-platform feature store aggregating data from across the business to train higher-accuracy behavioural models.
XGBoost ensemble models outperformed baseline classifiers, with recommendations consumed directly by the SAS marketing team for campaign personalisation.

SnowflakeAWS SageMakerXGBoost Random ForestTableauAnsible Tower

Tata Technologies Ltd.

ML Engineer · IoT & Streaming

Mar 2019 — Dec 2020

Engineered a real-time ML pipeline using Apache Kafka for streaming sensor data, enabling instant anomaly detection and predictive maintenance.
Applied unsupervised learning to uncover hidden failure patterns in unlabelled sensor data — improving fault detection precision and reducing unplanned downtime.

Apache KafkaMongoDBDocker AWS LambdaEC2Naïve BayesSVM

Mercedes-Benz R&D India

Computer Vision Engineer

Jun 2017 — Mar 2019

Delivered a production-grade defect detection system using YOLO-V5 that replaced manual quality inspection — reducing human error and significantly lowering QA workforce costs.
Sole engineer responsible for camera selection, image labelling, architecture design, and model training — true end-to-end ownership from concept to ROI.

YOLO-V5OpenCVRoboflow Deep LearningPLCMachine Vision

Technical Toolkit

Full-Stack
Data Science Skills

From raw data ingestion to boardroom dashboards — I own the entire pipeline.

Languages & Libraries

PythonSQL Scikit-learnPandas NumPyLangChain SpacyNLTK

ML / AI / GenAI

XGBoostRandom Forest ProphetYOLO-V5 RAG PipelinesGPT-4 LLaMAMonte Carlo

Cloud & DevOps

AWS SageMakerAWS Lambda S3 / EC2Vertex AI DockerIguazio Apache KafkaGitHub Actions

Data & BI

BigQuerySnowflake MongoDBOracle TableauAWS QuickSight Adobe AnalyticsDBeaver

Industry Domains

📱

Telecommunications

Vodafone · Customer behaviour & Finance analytics

🛒

Retail & E-Commerce

Home Depot · Office Depot · KPI, forecasting & CX

💰

Fintech & Capital Markets

MarketsMojo · Equity intelligence & portfolio analytics

🏭

Automotive & Manufacturing

Mercedes-Benz · Tata Technologies · Computer vision & IoT

Education

Post-Grad Diploma in Data Science

Simplilearn × Purdue University · 2017

Bachelor of Engineering

RTM Nagpur University · 2012

My Philosophy

"I don't build models to win Kaggle competitions. I build models that increase revenue, reduce costs, and give business leaders the confidence to make faster decisions."

— Chetan Mundhe, Lead Data Scientist

🌏

Based in India · Open to Global Roles

Holds a US B1/B2 visa. Available for senior IC, lead, and manager roles in CX analytics, AI/ML, and data science — on-site, hybrid, or remote.

🤝

Pre-Sales to Production

Experienced in client-facing requirement gathering, creating project quotes, and delivering POCs — not just back-office modelling.

👥

Team Leadership

Successfully led cross-functional teams of data engineers and analysts on high-impact projects, aligning technical execution with business strategy.

🔬

Depth + Breadth

From streaming ML pipelines and computer vision to GenAI and customer propensity models — I bring rare versatility without sacrificing depth.

Turning DataInto BusinessRevenue.

Business Value I've Delivered

10 Years, 6 Enterprises,Consistent Delivery

Full-StackData Science Skills

Let's Build SomethingThat Moves the Needle.

Turning Data
Into Business
Revenue.

10 Years, 6 Enterprises,
Consistent Delivery

Full-Stack
Data Science Skills

Let's Build Something
That Moves the Needle.