• 👋 Hi, I’m @avkhimen. I am a Canadian Engineer and Data Scientist.
• 👀 I’m interested in applications of Deep Learning, Deep Reinforcement Learning, and mathematical optimization methods to problems in transmission and distribution systems. I am also actively following developments in economics, finance, and cryptocurrencies.
• 🌱 I’m currently learning how to apply cutting-edge multi-agent reinforcement learning algorithms to problems involving continuous action spaces.
• 💞️ I’m looking to collaborate on solutions to problems in finance, cryptocurrencies, engineering, and social sciences.
• 📫 I can easily be reached atavkhimen@ualberta.ca orvavkhimenia@gmail.com.

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1. Electric_Vehicle_Charging_SimulationElectric_Vehicle_Charging_SimulationPublic

   This project implements Q-Learning to find the optimal policy for charging and discharging electric vehicles in a V2G scheme under conditions of uncertain commitment of EV owners. The problem is mo…

   Python 47 5

2. EasyA-_with_YouVersityEasyA-_with_YouVersityPublic

   MAKEUC2021 Hackathon Project

   Python 1

3. CWGAN-GP-image-generationCWGAN-GP-image-generationPublic

   Conditional Wasserstein GAN with gradient penalty for image generation trained with mnist dataset

   Jupyter Notebook 1 1

4. orbit_scraperorbit_scraperPublic

   Price scraper for dogecoin cryptocurrency to notify the user about the arbitrage opportunities between exchanges

   Python

5. CWGAN-GP-time-seriesCWGAN-GP-time-seriesPublic

   Conditional Wasserstein GAN for synthetic time series genetaion

   Jupyter Notebook 5