- Worked in Global Spread Products (GSP) group as an application developer.- Built dashboards for data visualization of stock prices using Python to analyse raw datasets and Business Intelligence tools (e.g., PowerBI) to visualize the trends and correlations.- Studied cloud technologies (AWS: EC2, S3, Lambda, LEX, and etc.) and sought for cloud-based solution to financial problems.- Designed a Browser/Server (B/S) based RESTful web application to help potential clients manage their budget and visualize their income/expenditure using SpringBoot, PostgreSQL and React.- Performed unit testing on the web application using Junit.- Prepared presentations after the completion of each sprint and demonstrated the results to managers and clients.

- Studied the decision trees (classification trees and regression trees) and various other machine learning models in MATLAB and Python, and real-world cases of the energy dispatch.- Designed a microgrid model in Simulink and connected the model using RT-LAB to the OPAL-RT simulation machine (microgrid) and built the connection between LabVIEW and CompactRIO (controller) to run the controller simulation.- Trained and optimized decision trees using SciKit Learn with the leading Ph. D. student.- Implemented a control policy for energy dispatching functionalities of a microgrid controller and designed a graphical user interface (GUI) using LabVIEW to analysis the technical performance of the controller.- Provided validation evidence demonstrating how the controller behaves in response to changing operating conditions and compare the results with the simple rule-based myopic controller.