Projects

A Django-based web application that interfaces with the Spotify Web API to create personalized music analytics. Users can generate custom "Wrapped" experiences by analyzing their listening patterns across different parameters and time periods, while also comparing music tastes with friends. The project utilizes Python, HTML/CSS, JavaScript, and the Spotify API to deliver an interactive platform for music discovery and social comparison.

A Django-based web application that integrates with the Google Maps API to create an interactive food discovery platform for Atlanta. Users can explore restaurants on an interactive map, apply filters, and engage with a community-driven rating system. The application enables users to contribute reviews, view photos, and make informed dining decisions based on collective user feedback.

Developed an interactive Power BI dashboard analyzing airline performance metrics across carriers. Features dynamic filtering for origin/destination airports, carrier codes, and time periods to identify operational challenges. Built using Power BI, DAX, and Python for data processing, enabling real-time performance tracking and delay pattern analysis.

Analyzed a network-wide flight delay pattern affecting multiple routes, identifying two hub airports as the root cause. Investigation revealed systematic delays stemming from insufficient aircraft turnaround times in the schedule planning, creating a cascading effect across connected flights. Using SQL and Python data analysis, demonstrated how unrealistic gate-to-takeoff windows propagated delays throughout the daily schedule, impacting network reliability.

Developed a mini Game Boy emulator in C featuring a custom arcade-style game. Players control a bucket to catch falling pixels within a time limit. Project includes complete emulation infrastructure with custom graphics rendering, game logic, and scoring system. Built using GBA development tools with assembly integration for hardware-level control.

Developed a predictive model using SQL and Python to forecast aircraft taxi times based on historical flight data. Algorithm analyzes aircraft type, origin, and destination parameters to generate accurate taxi duration estimates. Automated data processing and prediction pipeline using Python, enabling real-time taxi time forecasting to improve operational planning.

Engineered a Python script that processes and analyzes client data sets, implementing an optimized matching algorithm that reduced processing time by 8000%. Script enables custom queries and pattern identification while eliminating redundant iterations through the dataset. The enhanced efficiency transformed an hours-long process into minutes.

Developed comprehensive software security analysis for NASA, evaluating unauthorized external downloads against approved software database. Created centralized tracking system and automated verification process. Implemented new download protocol and approval workflow to strengthen security compliance, moving from spreadsheet-based tracking to dedicated platform for improved monitoring and risk assessment.

Developed iOS application using Swift and SpriteKit to assist aphasia patients with speech rehabilitation. Created interactive exercises and patient progress dashboard with integrated backend. App features customized speech therapy protocols designed in collaboration with medical professionals at Georgia State University.

Assisted in the development of open-source containerization tool Hoppr, focusing on cross-environment dependency management. Engineered Python script to automatically generate Pydantic Models from CycloneDX SBOM schemas. Project enhanced software portability while maintaining security compliance through automated dependency tracking and validation.