About Me

Background

I'm a Computer Science student at James Madison University (graduating May 2026) with a passion for data analytics, machine learning, and software engineering.

Connect with me: LinkedIn

Education

James Madison University | Harrisonburg, VA
B.S. Computer Science with Data Analytics Minor and Mathematics Minor
Expected: May 2026

Professional Experience

• Data Analyst Intern | JMU Office of Economic Development (Aug 2024 – May 2025)
• Redesigned Qualtrics survey for 700+ professors, increasing response rates by 40%
• Created Python and SQL visualizations to evaluate geographic internship trends
• Developed Python application (packaged with PyInstaller) reducing manual screening time by 90%

• Created visualization tools using Pandas, Seaborn, and Matplotlib analyzing 300+ internship listings

• Lead Computer Science Teaching Assistant | JMU Computer Science Department (Aug 2024 – Current)

• Lead team of 2-3 teaching assistants during lab sessions
• Guided 200+ students in Python, Java, and C through mentorship and lab support
• Assisted with in-class instruction and lab activities for 25-30 students

Technical Skills

Programming Languages: Python, Java, C, SQL, Ruby, R, Haskell

Frameworks & Libraries: NumPy, Pandas, Scikit-Learn, Seaborn, OpenAI API, React.js, Node.js, Express.js, PyTorch

Tools & Technologies: Linux, Git, SAS, RStudio, Qualtrics, MySQL, Excel, Tableau, Microsoft Azure

Software Development: Agile (Scrum), Object-Oriented Programming

Research & Projects

Academic & Research

• Deep Metric Learning for Ancient Coin Identification Research (Fall 2025 - Current)
• Conducted literature review on metric learning-based coin recognition
• Designed comparative study of ResNet50 and InceptionV3 backbones with ArcFace loss

• Evaluated model performance on 29K+ image dataset

• AI & Facial Detection in Healthcare (Fall 2023)

• Researched and analyzed AI-driven facial detection using HuggingFace
• Examined applications, ethical considerations, and industry impact

• Published technical article on Observable

• Robotic Firefly Synchronization (Spring 2023)

• Designed and programmed Arduino ESP32 microcontrollers in C++
• Simulated Photinus carolinus firefly synchronization with team of 11 students
• Presented findings at Virginia State University Research Conference

Hackathon & Class Projects

• CALI-Calendar (February 2025) - HackViolet Hackathon
• Developed backend for AI-powered smart calendar using Node.js and Express.js

• Integrated OpenAI's API with custom frontend-backend communication

• Ruby Spreadsheet App (Spring 2025)

• Co-developed terminal-based spreadsheet application using Ruby
• Implemented cell reference handling and arithmetic operations

• Built UI with Curses library for interactive user input

• Unit Converting Calculator (Spring 2024)

• Applied Scrum agile methodology to divide planning and development tasks
• Managed team of five students to meet 50-day deadline
• Completed weekly integration testing and bug patching

• Presented progress at each sprint with professor as product stakeholder

• Asteroids Game (Spring 2023)

• Developed game in Java with collision detection and player controls
• Utilized object-oriented programming principles for reusable components

Volunteer & Outreach

• Summer Camp Teaching Assistant | Bridges to Computing Camp (June 2025)
• Supported JMU summer camp for refugee youth
• Facilitated hands-on programming labs and activities

• Collaborated on administrative tasks, data collection, and content management

• MADI-STEM Volunteer (March 2022, 2023, 2024)

• Introduced middle school girls to STEM through Python coding instruction
• Captured professional photographs for program visibility and outreach

Leadership & Involvement

• Women In Technology (PR Chair)
• Competitive Programming Club
• Mentor for Haynes Scholars Residential Learning Community
• HackViolet Hackathon Participant
• South Asian Student Association
• Dukes Dil Se