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rehanguha/README.md

πŸ‘‹ Hi, I'm Rehan Guha

Senior Machine Learning Researcher & Lead Data Scientist

πŸ“ India | 🌐 rehanguha.github.io

Portfolio LinkedIn GitHub Google Scholar Instagram Flickr

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πŸš€ About Me

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.


πŸ† Professional Highlights

πŸ’Ό Current Role: Vodafone (July 2021 - Present)

Lead Data Scientist - Manager, Lead-Business Intelligence

  • 🎯 Managed 12+ core ML and Deep Learning projects directly linked to company revenue
  • πŸ’° €2M+ savings from "Machine Learning based hardware scanning and stitching using Arduino Uno and liquid lens" project
  • πŸ’° €20k/month savings from "International Steering of Roaming" optimization project
  • πŸš€ Onsite deployment in Luxembourg, Europe for hardware and ML space projects
  • πŸ—οΈ Built ML ecosystem from scratch for Data and Analytics vertical

πŸ”¬ Research & Innovation

  • πŸ“ Contributed COCOB optimizer to Google TensorFlow SIG Addons
  • πŸ“š Author: "Machine Learning Cookbook with Python" (BPB Publications)
  • πŸ† NSF & Arizona State University CPS Challenge 2020 - Runners Up
  • πŸŽ–οΈ Multiple Accenture Innovation Awards (2018-2019)


πŸ“š Publications & Research

πŸ“– Published Books

  • 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

Key Publications

Patents

  • πŸ“„ Digital Content and Transaction Management using an Artificial Intelligence (AI) based Communication System - US Patent 11,475,456

Google Scholar Profile

View on Google Scholar


πŸ… Awards & Recognition

  • πŸ† NSF & Arizona State University CPS Challenge 2020 - Runners Up
  • πŸŽ–οΈ Accenture Celebrates Excellence - Multiple Awards (2018-2019)

🀝 Let's Connect

I'm always open to discussing:

  • πŸ€– Machine Learning & AI research opportunities
  • πŸ“Š Data Science projects and collaborations
  • πŸŽ“ Speaking engagements and workshops
  • πŸ’Ό Consulting opportunities

Connect on LinkedIn Email me


Building the future with code, research, and a touch of philosophy πŸš€

Pinned Loading

  1. brisque brisque Public

    Blind/Referenceless Image Spatial QUality Evaluator (BRISQUE)

    Python 103 12

  2. pdistmap pdistmap Public

    PDistMap helps to find the overlap percentage of two probability distributions.

    Python 1 1

  3. interspace interspace Public

    Interspace gives us different type distances between two vectors.

    Python

  4. physimlab physimlab Public

    Physics Simulation Laboratory

    HTML

  5. bpbpublications/Machine-Learning-Cookbook-with-Python bpbpublications/Machine-Learning-Cookbook-with-Python Public

    Jupyter Notebook 13 12

  6. timeseries-decomposition timeseries-decomposition Public

    Time Series decomposition demystified

    Jupyter Notebook