I am a Finance researcher and Machine Learning Engineer Here're couple of projects I am doing :- 1. Form hypothesis for market strategies, backtest and deploy it on live accounts 2. Use Machine Learning and Deep Learning algorithms to generate edge in the trading signals (sentiment analysis, reinforcement learning. 3. Build systems for automating strategies following robust risk management systems. 4. Building Dashboards and indicators for information edge. 5. And couple of more products in pipeline. I work with Python for most of the tasks, Sqlite3 and MongoDB for database applications, Apache Spark for big data and AWS for cloud services. Well versed in Financial Engineering and quantitative analysis. Working on the intersection of Finance (includes Equity, Derivatives, Forex, Commodities and Crypto) and Machine Learning. I closely track advancements in Financial Machine Learning and Deep Learning. A udemy, youtube and github - taught programmer. Also good with data generation, modelling, pipelining big data, automation and web frameworks on cloud.