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