1.Developed ETF Analysis Apps using C#, Power BI, MultiCharts and IQFeed API. 2. Developed Markowitz Portfolio Optimization by assigning random weights to portfolios. 3. Worked in Developing Custom Indicators, Oscillators, Dynamic Bars based on Ranges. 4. Fundamental analysis was done and screener was built to select stocks (international market) by checking the Profit and Loss statements, Balance Sheet, C. 5. Cash flow statements and also worked on the past 10 to 20 years historical data including Foreign Investment, Institutional Investment, real time data using web sockets. 6. Worked with Apache Paraquet and HDF5 format to store and process tick by tick data using Python, used ITCH file format and FIX protocol to process Raw based tick by tick data, filtering Nasdaq Dataset using AlgoSeek. 7. Apache MXNet was used to deploy Deep NNs and Apache Spark, Kafka, Flink were used to process and control producers and consumers.Deep Q-Learning on Stock analysis to find the optimal policy. 8. Used CNNs (Nueral Network) for analyzing satellite images to convert into time series data based on object detection. 9. Have developed a TimeGAN for synthetic financial data.