Results-driven Data Science Leader with 12 years of experience delivering cutting-edge data solutions across BFSI, fintech, IoT, and manufacturing. Skilled in end-to-end project execution from data extraction to advanced model development, validation, and strategic recommendation. Recognized for mentoring high-performing teams and fostering a culture of innovation and results.
Overview
14
14
years of professional experience
6
6
years of post-secondary education
1
1
Certification
Work History
Lead Data Scientist
Hindustan Times Digital Streams
09.2024 - Current
Engineered an advanced AI chatbot for HT Auto using Retrieval-Augmented Generation (RAG) pipelines with Large Language Models (LLMs), deploying BERT and Sentence-Transformers for deep semantic understanding and precise, context-aware responses, all orchestrated in a high-performance vector database.
Developed a cutting-edge Loan Recommendation Engine: Architected and implemented a multiclass machine learning framework to match users with optimal loan providers, significantly boosting approval rates and delivering highly tailored financial solutions.
Devised a fintech product propensity model leveraging user reading behaviors; harnessed semantic similarity techniques to finely tune targeting and optimize product inventory, resulting in more effective and data-driven product placements
Lead Data Scientist
Bharti Airtel
04.2022 - 09.2024
Responsible for leveraging telco data for building risk and propensity models across a suite of financial products—including personal loan and credit card offerings.
Personal Loan Propensity Model: Designed and developed machine learning model using telecom & bureau data to identify users who are highly likely to take personal loans, achieving a lift of ~10% over the baseline solution.
Channel Affinity Model: Developed multi-class classification model to identify the optimal channel for user targeting through different channels like WhatsApp, SMS, and push notifications.
Location-based Embedding: Built transformer-based model for generating user-level embeddings from location data captured through mobile; these embeddings were then used for downstream tasks such as risk segmentation.
Senior Advanced Data Scientist
Honeywell
12.2021 - 04.2022
Delivered AI/ML solutions for health monitoring of smart buildings.
Developed HVAC optimization strategies to lower building infection risks.
Lead Data Scientist
Bosch
12.2018 - 12.2021
Directed R&D initiatives for IoT & manufacturing data science teams; recruited and mentored staff.
Standardized ML processes and deployed best practices for MLOps.
Production Scheduling: Developed a mixed-integer optimization model (Google OR Tools) for supply chain scheduling, validated against operations plans using CBC and Gurobi solvers.
Brake Pad Wear Detection: Created sensor-driven classification models, deploying them on ECUs for real-time monitoring.
Assistant Manager
XL Catlin
09.2016 - 12.2018
Accident Risk Prediction: Built XGBoost models with LIME explainability for automotive risk modeling
Associate Manager
Standard Chartered
08.2015 - 08.2016
Propensity Model - Build Propensity model for Cross-sell and Upsell of various Financial products like secured/unsecured loans and Credit cards
Engineer
BHEL
07.2011 - 06.2013
Production Process Optimization: Implemented statistical control charts and linear programming for process improvements.
Education
M.Tech - Operations Research
Indian Statistical Institute
01.2013 - 01.2015
B.Tech - Mechanical Engineering
Delhi College of Engineering
01.2007 - 01.2011
Skills
Machine Learning & Deep Learning (Transformers, GANs, VAEs, NLP)
LLMs, RAGs, GenAI, Semantic Similarity
Statistical Methods & Inference
MLOps: MLflow, GIT, Model Deployment, Python, Spark, PyTorch
Optimization: Linear & Mixed-Integer Programming, Google OR Tools
Certification
INSEAD Leadership Program for Senior Executives, 2023–24