Spearheaded the development of a Time Series Model for forecasting pricing in Carbon Markets, resulting in a 10% increase in company revenue. Improved model accuracy by 4.7% by incorporating sentiment analysis. Independently created a web scraping tool using Beautiful Soup, automating data ingestion from Veera and Gold Standard, and saving 5 hours of manual work weekly. Implemented Power Automate workflows to extract and ingest market data from brokers. Conducted extensive testing of REST APIs with Postman and authored comprehensive API documentation in Swagger.

Designed and implemented a quiz platform to test knowledge of space and the universe, attracting over 100 weekly visitors at the Research Centre. Utilized Python Flask for the back-end and MongoDB for storing user and quiz data. The application, hosted on an intranet server, leveraged JavaScript libraries with jQuery, HTML, and CSS.