Nikhil Bajaj

About Nikhil Bajaj

Email: b••••••••@gmail.com Phone:+91••••••••44 Data Scientist | Machine Learning | GenAI | Customer & Risk AnalyticsData Scientist building machine learning driven customer intelligence systems at scale.Currently at KPMG India, developing ML models and analytics solutions across a 50M+ subscriber telecom ecosystem, driving improvements in customer engagement, retention, and revenue growth. Core Work• CVM Recommendation Systems• Churn & Dormancy Prediction• Customer Lifetime Value (CLTV) Modeling• Behavioral Segmentation & Targeting Impact• 41% revenue uplift through ML based segmentation• 65% customer recovery via predictive retention models• Large scale analytics using Hive, Presto, PySpark, SQL BFSI & AI Exposure• Experience supporting risk and compliance analytics workflows and model monitoring• Exploring GenAI applications using RAG for regulatory and document intelligence Current AI Project• Building a web scraping + NLP pipeline to extract and structure regulatory documents for AI driven analytics. StackPython | SQL | PySpark | Machine Learning | Feature Engineering | Model Monitoring | Hive/Trino | Azure Business KPIsARPU | CLTV | Profitability Index | Decile Targeting | PSI/CSI | Gini | KS | AUC

Experience

1. Consultant - Data Scientist

   KPMG India

   Sep 2024 — Present

   CVM Project• Spearheaded the creation of a Customer Value Management (CVM) Recommendation Engine for a leading telecommunications provider in the EMEA region.• Designed and deployed diverse machine learning models and key performance indicators (KPIs) using Python and PySpark, along with heuristic use cases to enhance customer insights and service.• Customers Next Recharge amount & Next combo offers sales forecasting using the regression techniques.• Implemented K-Means clustering for customer behavioral segmentation, resulting in a 41% increase in revenue.• Developed models for Customer Lifetime Value (CLTV), Dormancy, and Customer Retention, employing both supervised and unsupervised machine learning approaches.• Oversaw on-premise big data workloads for approximately 50 million subscribers, utilizing SQL-based technologies such as Hive, Presto, and MySQL.• Formulated and executed comprehensive strategies for up selling, mitigating churn, reviving dormant accounts, and cross-selling, leveraging behavioral insights to drive revenue growth and enhance user engagement.• Delivered impactful subscriber retention strategies, such as Nursery Socialization, Early Retention,Winback for different set of churning customer leading to a significant 65% subscriber recovery• Cross-Functional Collaboration: Collaborated closely with cross-functional teams, including product development, to translate data insights into actionable recommendations for improving client experience and driving business growth.• Leadership and Mentorship: Led and mentored interns, guiding them through data science methodologies and best practices, and facilitating their learning and development within the team.Ecomms Surveillance• Developed a lexicon-based NLP model to monitor business communications and identify potential misuse of sensitive information, triggering alerts based on contextual scoring and predefined parameters.• Designed a scoring framework combining keyword intensity, commu

Education

• Oriental Institute of Science and Technology, Bhopal

  Bachelor of Computer Science

• Birla Institute of Technology and Science, Pilani

  Postgraduate Degree, Business Analytics

• Oriental Institute of Science & Technology, Thakral Nagar, Opp Patel Nagar, Raisen Road, Bhopal-462021

  B.tech, Computer science Engineering

• DAV Burhar public school

  High School Diploma, Mathematics