Harsh Dadheech
Data Science Leader @IBM | Ex-Dunnhumby | Machine Learning | Generative AI & LLMs | Deep Learning
- Role
- Senior Data Scientist at IBM
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Harsh Dadheech
Accomplished Senior Data Scientist with over 11 years of experience driving business…
Experience
Senior Data Scientist
Dec 2023 — Present
Led the end-to-end development of wholesaler and territory segmentation models for a major FMCG client using PySpark and unsupervised machine learning (K-Modes clustering), resulting in optimized distribution networks and deeper market penetration.Built market basket analysis pipelines using association rule mining to uncover product affinities, enabling targeted cross-selling strategies and boosting revenue through intelligent product bundling recommendations.Engineered demand forecasting models leveraging time series techniques, Python (Pandas, NumPy), MLlib, and XGBoost, enhancing supply chain predictability and operational planning.Directed a critical risk prediction initiative for a top-tier banking client with over 500 million customers, designing machine learning workflows to improve credit monitoring and early risk detection.Delivered a machine learning-powered Early Warning Signal (EWS) framework for corporate banking within 6 months, providing timely alerts on borrower stress and reducing non-performing asset risks.Developed a predictive model for STR (Suspicious Transaction Report) filing, analyzing customer attributes, peer relationships, and real-time transaction patterns using Spark\'s GraphX to uncover potential money laundering behaviors.Engaged directly with senior level stakeholders, translating complex business needs into data science use cases, refining solutions through iterative feedback and domain alignment.Partnered with cross-functional teams including data engineers, risk SMEs, and business analysts to ensure seamless deployment of ML solutions into production environments.Authored comprehensive technical documentation covering model logic, evaluation metrics, and operationalization steps, ensuring full transparency, reproducibility, and stakeholder confidence.
Education
Birla Institute of Technology and Science, Pilani
Master of Science - MS
2025
B K Birla Institute of Engineering & Technology, Pilani
Bachelor of Technology - BTech
2008 — 2012
International Institute of Information Technology Bangalore
PGDDS
2017 — 2018
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