---
title: "Karan Balaji Sreekanth - AGM- Data Scientist in Mumbai | Tal"
description: "Meet Karan Balaji Sreekanth, AGM – Data Scientist @ Vodafone Idea | Machine Learning | Recommendation Systems | Product Analytics | AWS | MLOps | Customer Analytics based in Mumbai. AI stack includes antigravity and claudecode."
image: "https://tal.club/meet/karan-balaji-sreekanth/share-image"
---

# Karan Balaji Sreekanth on Tal

## Headline

AGM – Data Scientist @ Vodafone Idea \| Machine Learning \| Recommendation Systems \| Product Analytics \| AWS \| MLOps \| Customer Analytics

## About

🚀 Data Scientist \| Machine Learning \| Recommendation Systems \| Product Analytics I am a Data Scientist with 3\+ years of experience building machine learning solutions that drive customer engagement, personalization, and revenue growth at scale\. Currently, I work as an AGM – Data Scientist at Vodafone Idea, where I develop and deploy ML\-powered recommendation systems, propensity models, and predictive analytics solutions for 100M\+ subscribers across 22 telecom circles\. 🔹 Key Achievements: • Generated INR 150M\+ revenue impact through AI\-driven targeting and personalization initiatives\. • Delivered 10% ARPU uplift through recommendation and propensity models\. • Built scalable AWS ML pipelines processing 220\+ GB of customer and network data daily\. • Developed Next Best Offer \(NBO\) engines and recommendation systems to improve offer relevance and customer engagement\. • Automated end\-to\-end ML workflows using AWS SageMaker, Glue, Lambda, Athena, and PySpark\. • Designed model monitoring and data drift frameworks to improve reliability and business trust\. 🔹 Areas of Expertise: Machine Learning • Recommendation Systems • Product Analytics • Marketing Analytics • Predictive Modeling • MLOps • AWS • PySpark • A/B Testing • Customer Analytics I enjoy solving complex business problems using data and translating analytical insights into measurable business outcomes\. Open to connecting with professionals in Data Science, AI/ML, Product Analytics, and Data\-Driven Growth\.

## Location

Mumbai

## AI stack

antigravity

claudecode

## Work experience

AGM\- Data Scientist at Vodafone Idea Limited, Feb 2024 \- Present · 2 yrs 7 mos, Mumbai, Maharashtra, India, As part of the Data Science team, I develop and deploy machine learning solutions that drive customer acquisition, retention, personalization, and revenue growth across Vodafone Idea's consumer business\. My work focuses on building large\-scale recommendation systems, propensity models, and predictive analytics solutions that support marketing and commercial decision\-making for over 100M subscribers across 22 telecom circles\. Key responsibilities and achievements: • Built and automated end\-to\-end AWS\-based ML pipelines using SageMaker, Glue, Lambda, Athena, and PySpark\. • Process and score 220\+ GB of customer, network, and behavioral data daily to generate personalized recommendations at scale\. • Developed Next Best Offer \(NBO\) recommendation engines to improve customer engagement and offer relevance\. • Delivered measurable business impact through a 10% ARPU uplift, 3% increase in recharge conversions, and INR 150M\+ revenue growth\. • Designed data drift monitoring and model performance frameworks to improve model reliability and explainability\. • Developed automated validation frameworks using Selenium to detect recommendation and pricing anomalies before campaign deployment\. • Collaborate closely with Marketing, Product, Commercial, Technology, and Customer Experience teams to translate business challenges into data\-driven solutions\. Core Technologies: Python, SQL, PySpark, AWS SageMaker, AWS Glue, AWS Lambda, Athena, Machine Learning, Recommendation Systems, MLOps, A/B Testing, Product Analytics\.

Assistant General Manager at Vodafone Idea Limited, Jul 2023 \- Present · 3 yrs 2 mos, Designed, developed, and deployed end\-to\-end ML solutions on AWS, enabling personalized, AI\-driven recommendations in production for 100M\+ customers across 22 telecom circles\. Built and maintained scalable, automated AWS\-based ML pipelines processing 220\+ GB of data daily using AWS Glue \(PySpark\), SageMaker Pipelines, and EventBridge – covering data preprocessing, feature engineering, model training, evaluation, and deployment\. Delivered measurable business impact through 10% ARPU uplift, 3% increase in recharge conversions, and 150M\+ revenue growth from AI\-driven targeting initiatives\. Built model performance monitoring and data drift detection frameworks across 600\+ features, improving production reliability and stakeholder confidence\. Developed a Python/Selenium\-based validation service to detect pricing, validity, and recommendation anomalies across digital channels, improving accuracy and customer experience\.

Management Trainee at Vodafone Idea Limited, Jul 2023 \- Feb 2024 · 8 mos, Mumbai, Maharashtra, India, • Developed automated validation frameworks using Selenium to detect recommendation and pricing anomalies before campaign deployment\.

Summer Internship at Vodafone Idea Limited, May 2022 \- Jul 2022 · 3 mos, Marketing \- Big Data and Advanced Analytics

Teaching Assistant at BITS Pilani Work Integrated Learning Programmes, Feb 2022 \- May 2023 · 1 yr 4 mos

Senior Academic Counselor at ProGrad Junior, Mar 2021 \- Apr 2021 · 2 mos, Coimbatore, Tamil Nadu, India

## Education

Master of Business Administration \- MBA, Business Analytics, Birla Institute of Technology and Science, Pilani

B\.Tech, Mechanical, Shanmugha Arts, Science, Technology and Research Academy

[View the original profile](https://tal.club/meet/karan-balaji-sreekanth)

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