Senior Data Scientist · ML/AI · Pharma Analytics
Assistant Manager, Data Science · Genpact · Bengaluru, India
5+ years turning complex pharma and marketing data into real-time decisions — through predictive ML, LLM-integrated BI, and automated analytics pipelines for Fortune 500 clients.
01 · About
Senior Data Scientist with 5+ years of end-to-end ML/AI experience in Pharmaceutical and Marketing Analytics. Proven track record of designing predictive Machine Learning models, NLP-powered pipelines, and automated BI solutions that drive real-time decision making — turning raw data into measurable ROI for Fortune 500 clients.
At Genpact, I architect LLM-integrated ThoughtSpot data models and omnichannel marketing analytics platforms. Previously at Axtria, I built scalable Health System segmentation pipelines, CatBoost quantile regression models for HCP engagement, LSTM-based sales forecasting, and Genetic Algorithm-driven impression optimisation systems.
Outside of work, you'll find me with a camera, on a trail, singing, drawing, or teaching statistics — because the best way to truly understand something is to explain it clearly to someone else.
Core Stack
Languages
Interests
02 · Key Projects
Genpact
Architected LLM-integrated ThoughtSpot data models and Liveboards with Natural Language Querying (NLQ) enabling non-technical stakeholders to interrogate complex pharmacy claims data conversationally — surfacing real-time insights on prescription drug utilisation, rebates, and cost optimisation trends.
Eliminated manual reporting bottlenecksGenpact
Led transition of manual Excel/SAS processes to a scalable Python + SQL automated pipeline. Integrated 340B density, CMP win, Medicaid density, and clinical partnership metrics into a unified segmentation framework with automated tiering logic.
~00K annual savings deliveredAxtria
End-to-end predictive pipeline integrating sales, activity logs, and HCP attributes. Built a CatBoost quantile regression model (tuned with Optuna), leveraged SHAP for feature insights, and Monte Carlo simulations to optimise messaging sequences with business constraints — driving personalised, compliant HCP communication strategies.
Improved HCP engagement & Rx outcomesAxtria
Developed and automated an AI orchestration project using Databricks. Built LSTM models per segment with extensive feature engineering. Used Genetic Algorithm (GA) to optimise channel impressions, recommending an optimised HCP Pool based on model outcomes and business rules.
Multi-segment forecasting at scaleAxtria
Automated Python-based pipeline for Marketing Mix modelling, replacing manual Excel/SAS workflows. Designed linear mixed-effects models with advanced feature engineering — outlier treatment, lagged variables, adstock transformations — for accurate demand forecasting and NRx optimisation.
Full reproducibility from manual processIpsos
Led MTA model development across e-commerce channels, optimising digital marketing investments. Built a Data Analysis Framework for preprocessing, feature engineering, and ML model execution to predict channel revenue and conversion effectiveness in real-time across all marketing channels using AWS, BigQuery, and Facebook Business Manager.
Real-time attribution across channels03 · Experience
Genpact
Bengaluru, Karnataka · Full-Time
Leading LLM-integrated ThoughtSpot BI platform development, omnichannel marketing analytics, and automated Health System segmentation pipelines for pharma clients. Delivered ~$500K annual savings via Python/SQL automation and eliminated manual reporting bottlenecks through AI-powered NLQ.
Axtria – Ingenious Insights
Bengaluru, Karnataka · Full-Time
Built end-to-end ML pipelines for HCP targeting, TRx forecasting, and impression optimisation. Delivered MMx ROI automation, vaccine portfolio segmentation, RBM team sizing, and PSM-based test-control analysis for major pharma clients across Databricks, Redshift, and SQL environments.
Ipsos
Bengaluru, Karnataka · Full-Time
Led Multi-Touch Attribution model development for Fortune 500 advertisers. Built data analysis frameworks for digital media investment optimisation using AWS, Google BigQuery, Facebook Business Manager, Redshift, R, Python, and SAS.
Howrah Vivekananda Institution
Howrah, West Bengal · Part-Time
Delivered lectures on Descriptive and Applied Statistics. Guided students in solving statistical problems using R and Python, conducted classes on advanced statistical techniques, and mentored students on data science projects.
Chegg
Remote · Part-Time
Provided expert solutions to statistical problems using R, Python, and MS Excel for students globally, reinforcing strong foundations in applied statistics.
04 · Skills
Statistical Methods
Machine Learning & AI
Platforms & Domain
05 · Education
2018 – 2020
M.Sc. in Statistics
University of Kalyani
Distinction
2015 – 2018
B.Sc. (Hons.) in Statistics
Vivekananda College, University of Calcutta
06 · Recognition
Genpact · Dec 2025
Consistent error-free outputs, exemplary performance, and significant contribution driving end-to-end HS modelling and Python/SQL automation
Axtria · Mar–Apr 2024
Consistent quality delivery in stringent timelines, positive client feedback, and onboarding support for new team members
Axtria · H2 2023
Significant contribution to overall team objective with passion and innovation leading to measurable project impact
Ipsos · Sept 2021
Entrepreneurial spirit, innovative ideas, and partnership with the US team in standing up a new product at Ipsos
Ipsos · Jul 2021
Youngest team member to take on and deliver a fast transition of a major project at Ipsos
Academic
Swami Vivekananda Merit Cum Means Scholarship for academic excellence
07 · Certifications & Training
Full project details · tools · awards · certifications
↓ Download Resume (PDF)08 · Contact