Data Science, B.S.
- Technical Skills: Python, R, SQL, Rust, Azure, Power BI, Excel
- Boston Violent Crime Analysis
With R studio, I explore Boston police data regarding shooting incidents over the past decade, and by merging census data, I developed several OLS models to explain
significant relationships between shooting incidents and socioeconomic factors. I also perform a geospatial weighted regression to align my analysis with the assumptions of OLS. - [Deep Learning Sentiment Analysis Text+Audio](Final Paper - DS 340.pdf) Using BERT and transformer models, I obtained feature embeddings for labeled text and audio data as inputs to Bidirectional LSTM and Feed Forward Neural Network. The project pdf describes the performance of deep learning in comparison to XGBoost and Logistic Regression.Project Code
- Delivery Time Prediction Exploration of classical machine learning techniques with data cleaning and preprocessing with Python. Compared the performance of ensemble and regression models such as random forrest, lasso, ridge, and elastic nets.
- [Covid-19 Vaccination Completion Forecast](Research Poster.pdf) Utilized R posterdown to present regression and exploratory data analysis. Conducted research forecasting vaccination rates based on national and county level voting and demographic data.
- Graph Construction and BFS with Rust Built a graph data structure using Rust functions and custom data types. Programmed breadth first search algorithm to sucessfully travese a graph with over 10,000 nodes.
- PowerBI Sample Dashboards
- [Sample Slides](Consulting slides sample .pdf) Slides are from BU consulting group strategy lab competition. Our team was selected as a final 3 contestant out of 15+ teams.
- Code of Ethics Proposed ethical guidelines for professional consultants