Position: machine learning researcher, data scientist
Category: Data Science
English level: intermediate
Years of experience: 5

Building from scratch a profitable trading model based on a neural networks for trading on a cryptocurrency exchange. From data collection to deployment and automatic continuous retraining.
As a Data Scientist and ML Researcher/Engineer I worked on time series analysis, predictions, feature engineering, built and trained neural network models with multiple GPUs, worked with reinforcement learning, created my own hybrid learning system with elements of both reinforcement learning and self-supervised learning, built a continuous automatic retraining system,  and deployed my models for production on remote servers. Also worked on testing of hypotheses, linear model building, factor analysis and search for a causation direction.

I am a former experimental physicist. I have extensive experience in the manufacturing business. From 2014 to 2017, I was engaged in statistical testing of psychological rehabilitation methods. Since 2017, I have been working in an IT company primarily on finding profitable trading models on cryptocurrency exchanges. I also solved some tasks related to the analysis of e-commerce data.
significant research component