π India | π rehanguha.github.io
I'm a Senior Machine Learning Researcher and Principal Data Scientist with extensive experience in Gen AI, LLM/SLM, Fine-tuning, Explainable AI, Deep Learning, and Optimization Problems. Currently, leading critical ML projects at Vodafone that directly impact company revenue.
Lead Data Scientist - Manager, Lead-Business Intelligence
- π― Managed 12+ core ML and Deep Learning projects directly linked to company revenue
- π° β¬2M+ savings from "Machine Learning based hardware scanning and stitching using Arduino Uno and liquid lens" project
- π° β¬20k/month savings from "International Steering of Roaming" optimization project
- π Onsite deployment in Luxembourg, Europe for hardware and ML space projects
- ποΈ Built ML ecosystem from scratch for Data and Analytics vertical
- π Contributed COCOB optimizer to Google TensorFlow SIG Addons
- π Author: "Machine Learning Cookbook with Python" (BPB Publications)
- π NSF & Arizona State University CPS Challenge 2020 - Runners Up
- ποΈ Multiple Accenture Innovation Awards (2018-2019)
- Machine Learning Cookbook with Python (BPB Publications, 2020) - Comprehensive guide implementing ML algorithms through real-world projects
- Machine Learning Interview Guide (BPB Publications, 2024) - Practical interview preparation with coding exercises
- π Benchmarking gradient based Optimizers' sensitivity to Learning Rate (2023)
- π GRID SEARCHING - Novel way of Searching 2D Array (2016)
- π Fine-tuning human for LLM projects (2023)
- π Digital Content and Transaction Management using an Artificial Intelligence (AI) based Communication System - US Patent 11,475,456
- π NSF & Arizona State University CPS Challenge 2020 - Runners Up
- ποΈ Accenture Celebrates Excellence - Multiple Awards (2018-2019)
I'm always open to discussing:
- π€ Machine Learning & AI research opportunities
- π Data Science projects and collaborations
- π Speaking engagements and workshops
- πΌ Consulting opportunities
Building the future with code, research, and a touch of philosophy π


