Pennsylvania, United States
Helped students get a deeper understanding of their course by answering questions about class material and homework problems.
Held office hours twice a week with 10+ student attendance and received high recognition from the attendees.
Assisted eight students to become familiar with the course’s hard concepts and helped them improve their grades
Actively contributed to the Leh-Laf Hackathon sponsored by Amazon AWS in November 2023, demonstrating rapid development,
software creation, and problem-solving skills.
Utilized Flask and React-Native to develop the app’s backend database and front-end mobile, showcasing the ability to leverage cutting-edge tools. The project received positive feedback and support for its potential impact on mental well-being during the hackathon demo.
Led a team in creating a unique mental health app within a 24-hour timeframe, providing users with an anonymous platform to share their
troubles in different communities and engage with randomly generated avatars based on their input usernames to increase the fun of user
experience.
2024 — 2024
Bethlehem, PA
Collaborated with cross-functional teams to enhance quote generation by analyzing user trends, identifying root causes, and implementing solutions, improving acceptance rates by 15% through Jira/Trello-driven defect tracking.
Automated validation workflows for ML-driven recommendations and UI changes using Python/SQL, Java, Figma, and Snowflake datasets, enabling A/B testing at scale.
Optimized testing frameworks with the QA team to refine testing frameworks, achieving 86% model accuracy through iterative process optimization and data-driven refinements.
2024 — 2024
Data Visualization Capstone Project
Collaborated with cross-functional teams to enhance quote generation by analyzing user trends, identifying root causes, and implementing solutions, improving acceptance rates by 15% through Jira/Trello-driven defect tracking.
Automated validation workflows for ML-driven recommendations and UI changes using Python/SQL, Java, Figma, and Snowflake datasets, enabling A/B testing at scale.
Optimized testing frameworks with the QA team to refine testing frameworks, achieving 86% model accuracy through iterative process optimization and data-driven refinements.
California, United States
Led the development of a cloud-based IMS for supply chain operations using Java, Python and AWS; designed the system architecture, developed backend modules for authentication, inventory tracking, and analytics, and built a responsive web application.
Developed RESTful APIs using JSON and .NET Framework to manage product, supplier, and inventory data, ensuring seamless CRUD operations for a mobile application.
Built an RDBS using SQL Server and optimized queries for real-time inventory tracking by integrating Power Apps with .NET backend services to enhance frontend functionality.
Education
Columbia University
Master of Computer Applications - MCA
Lehigh University
Bachelor of Science
Columbia University