The Education and Experiences

Built and maintained backend services and REST APIs in Python using Flask to power real time geospatial volunteer matching, enabling efficient and low latency request routing across active users.

Designed and optimized PostgreSQL schemas on AWS Aurora with spatial indexing to improve nearest neighbor searches and location based filtering, reducing query time and improving system responsiveness.

Refactored SQL queries and backend workflows to remove performance bottlenecks, improving API stability and maintaining reliable data availability under concurrent usage.

Integrated AWS services including Lambda, API Gateway, Cognito, and MSK to support a secure microservices architecture with event driven communication patterns.

Contributed to Git based CI/CD workflows with structured pull requests, automated testing pipelines, and deployment validation, while documenting architecture and resolving frontend integration issues using React and JavaScript to improve overall system reliability and maintainability.

GPA: 3.897

Courses: Data Mining, Machine Learning, Regression Analysis, Data Visualization, Security Fundamentals

Collaborated with peers on academic research and capstone problem solving in predictive modeling.

Collected, cleaned, and analyzed event participation data using SQL and Excel across more than 12 technical and cultural programs to support planning and improve decision making.

Built automated dashboards and recurring reports to track engagement trends, participation patterns, sponsorship performance, and key operational metrics, reducing manual reporting effort by 50 percent.

Standardized data preparation, validation, and reporting processes to improve data consistency and helped increase attendee engagement by 30 percent through data informed insights.

Worked closely with sponsorship teams and organizing committees to translate event objectives into clear analytical insights that guided strategic planning and post event evaluation.

Led the planning and execution of workshops and hackathons as Chairperson of IEEE GRSS, while also creating digital promotional assets using Adobe Photoshop and Premiere Pro to maintain consistent branding and documentation.

GPA: 3.30

Coursework: Signals and Systems, Digital Communications, Probability and Random Processes, Embedded Systems, Microprocessors

Led and organized 20+ technical events as IEEE GRSS Chair, applying data analysis and structured reporting to improve participation and operational efficiency.