Computer Science (BS) student at Georgia Tech specializing in AI/ML & Information Networks. I am deeply passionate about transforming data into actionable insights.
I am a driven problem-solverwith a strong foundation in computer science and a relentless curiosity for uncovering insights from complex datasets and ambiguous problems with a track record to prove my success.
Outside of school I love to play sports like basketball and golf as well as travelling & hiking. I also have been playing the piano for the last 12 years and enjoy playing and improvising in my free time.
Built a model to classify stress levels from physiological signals (e.g., heart rate and EDA), including feature engineering, cross-validation, and model comparison.
Implemented an LSTM-based time series model to forecast stock prices, including data scaling, sliding windows, and walk-forward validation.
Findr is a web application that provides users a personalized recommendation system for music based on their tinder-like swiping experience. I used the Spotify API to get song data and created a recommendation system that allows users to input feedback on songs and add to their playlist.
Using predictive financial analytics and forecasting to increase the financial well-being of a local special needs preschool. Maximized donations and financial allocation to help turn around declining monetary situation.
A comprehensive analysis of the Netflix dataset with graphical representations of the insights. I feature engineered as well to create a seasonal column to view Netflix's content adoption tendencies.
Analysis of the New York City Airbnb dataset with a focus on trends among hosts and neighborhoods, project is set up so that I will come back and create an end-to-end machine learning project for personal use to get into the Airbnb business.
Ernst & Young LLP
New York City, NY - In-Person
Tech Consulting Intern within EY's Strategy & Transformation practice, delivering CI/CD modernization, AI tooling, and workflow automation for financial services clients.
Sports Performance Intelligence Vertically Integrated Project
Atlanta, GA - In-Person
Conducted analytics for the Georgia Tech men's NCAA Baseball team with projects ranging from creating advanced statistics to creating predictive models to anticipate defensive positioning and suggest transfer portal pickups.
Northeast Georgia Health Systems
Gainesville, GA - In-Person
Developed dashboards utilizing Snowflake & Astrato to quantify enterprise-wide dashboard utilization, and performed data governance tasks to ensure data privacy and security.
Sisu, Integrated Early Learning
Gainesville, GA - Virtual
Provided financial data analysis and reporting for a local non-profit utilizing EDA-processes.