• Developed predictive models for AD&D basic policy leveraging XGBoost and GLM in R on a massive dataset, optimizing features for improved performance without compromising AUC scores.

• Identified cost-saving opportunities, saving $32K by revamping email targeting for a campaign.

• Proposed and implemented a faster alternative model using LightGBM in python, achieving a 10% speedup.

• Pioneered bug detection and fixing, setting a benchmark by resolving a production code issue within the first 3 weeks of the internship

• Grading students assignments, projects and proctoring exams for course Mathematical Methods for Data Analytics.

• Assisting students in understanding of Mathematical Concepts and computational tools through individual sessions.

• Developed and maintained OData API calls to facilitate seamless data retrieval and transmission.

• Designed and delivered multiple customized IRIS API endpoints and special services tailored to meet the specific needs of clients.

• Played a pivotal role in a project focused on enhancing product compatibility with MSSQL databases, optimizing data management and access.

• Recognized with the prestigious GEM (Going Extra Mile) award for the Jan 2021 to March 2021 quarter, acknowledging significant contributions to a critical project and ensuring a regression-free deployment.

• Design and developed a Software to perform Aspect Based Sentiment Analysis for hotel reviews using Machine learning(pyhton), Data mining, NLP and Flask(HTML and JavaScript).

• Worked also on re-branding their Corporate website using AWS EC2, Wordpress, Apache