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srmadani/README.md

👋 Hey there! I'm Reza! 🚀

Welcome to my slice of GitHub! 🌐 As a PhD candidate at HEC Montreal, I specialize in blending deep learning, reinforcement learning, and operations research to tackle a variety of challenges. My focus spans optimal control, investment analysis, pricing, forecasting, and location problems, using analytics to pave the way for smarter, more efficient decisions.

Off the Clock:

  • 📸 Photography: Capturing life's moments one snapshot at a time.
  • 🚴 Biking: Exploring trails and cityscapes on two wheels.

Feel free to explore my projects or get in touch if you're interested in data, technology, or just want to share interesting ideas!

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  1. Grid-Incident-Rag Grid-Incident-Rag Public

    SQL-native RAG system that transforms 153 California wildfire incident PDFs into searchable intelligence using BigQuery AI. Processes regulatory documents into a knowledge base with vector search a…

    Jupyter Notebook

  2. Demand-Response-in-Commercial-Buildings Demand-Response-in-Commercial-Buildings Public

    This repository contains the implementation of reinforcement learning algorithms for optimizing energy demand response in commercial buildings. The project focuses on reducing peak loads and improv…

    Jupyter Notebook 10 2

  3. ev-charging-tg-bot ev-charging-tg-bot Public

    The EV Smart Charging Bot is a Telegram-based assistant that helps EV owners find the most cost-effective and eco-friendly charging times by analyzing real-time electricity prices and emissions. It…

    Python 2

  4. Targeted_Critical_Peak_Pricing Targeted_Critical_Peak_Pricing Public

    Implementation and results of advanced reinforcement learning algorithms applied to optimize Critical Peak Pricing

    Jupyter Notebook 1

  5. Investment_in_DER Investment_in_DER Public

    Investment in Vehicle to Grid and Distributed Energy Resources: Distributor versus Prosumer’s Perspectives and the Impact of Applicable Rates

    Jupyter Notebook 1

  6. financial-qa-rag financial-qa-rag Public

    A dockerized Retrieval-Augmented Generation (RAG) system for answering financial questions using ElasticSearch, Ollama, and Streamlit.

    Python 1