Technical Skills
Programming Languages
Technologies & Tools
Data Science & ML
Professional Experience
- Utilized exploratory data analysis to identify correlations between temperature fluctuations and COVID-19 test positivity rates
- Processed complex datasets by selecting appropriate features, addressing missing values, and handling outliers
- Trained and evaluated various machine learning models to predict COVID-19 test rates using weather data
- Implemented fairness-aware algorithms to mitigate bias and overfitting, along with sliding window methods for time series analysis
- Collaborated with a team of five to develop a React page displaying credit referrals, improving processing visibility for 100+ daily applications
- Enhanced user experience by implementing pagination for seamless navigation through 100+ referrals
- Delivered architecture diagrams and wireframes to guide development through team collaboration and agile methodologies
- Participated in a 4-week intensive computer science program for high-achieving students
- Completed project-based HTML/CSS and JavaScript curriculum taught by Google engineers
- Configured 15 individual coding projects using variables, data types, and functions
- Attended workshops on product design, resume development, and software engineering interviews
- Delivered collaborative final project presentation with live demonstration to Google employees
Featured Projects
COVID-19 Rate Predictor
Python | Machine Learning | Time Series Analysis
Built machine learning models to predict COVID-19 test positivity rates using weather data. Implemented fairness-aware algorithms and sliding window methods for time series data, focusing on identifying correlations between temperature fluctuations and test rates.
Airbnb Price Predictor
Python | NumPy | Pandas | Scikit-learn | Matplotlib
Developed a machine learning model to predict Airbnb prices with 20% performance improvement. Addressed missing values and converted data types to improve data quality and consistency. Structured analysis with clear documentation and modular code for reproducibility.
Credit Referrals Dashboard
React | JavaScript | Agile Development
Created a React-based dashboard for displaying credit referrals at Capital One, improving processing visibility for 100+ daily applications. Implemented pagination and collaborated on architecture design through agile methodologies.
Education & Certifications
George Mason University
Bachelor of Science in Computer Science | Minor in Mathematics
Expected Graduation: May 2026 | GPA: 3.5
Cornell University
Machine Learning Foundations
CodePath
Technical Interview Prep
AT&T
Technology Academy
Break Through Tech AI
AI/ML Fellowship Program