I’m a Data Science student at Boston University (Class of 2026, Minor in Engineering Science) who thrives on problem-solving and strategic thinking. I’m determined, hardworking, and always curious, I find learning new tools and concepts exciting because it opens the door to fresh ways of tackling challenges.
I’m especially fascinated by the role of social justice in data science and the power of data to drive impact in sustainability and climate action. Whether it’s optimizing a pipeline, uncovering insights from complex datasets, or applying machine learning to real-world issues, I enjoy combining technical skills with purpose-driven work.
Languages & Tools: Python, SQL, R, Rust, LaTeX, Jupyter Notebooks, Git, Docker, Streamlit, Apache Airflow, Power BI
Libraries & Frameworks: Scikit-Learn, Pandas, Numpy, MobileNetV2, Transfer Learning
Cloud Platforms: AWS, Azure
Core Areas: Machine Learning, Data Pipelines, Reverse Image Search, Sustainability Data Analysis
Real-time waste classification app using MobileNetV2 and transfer learning. Achieved 94% accuracy on 18,000+ images. Built an end-to-end pipeline covering preprocessing, training, and deployment in Streamlit.
💻 Source Code in Repo
Collaborated on transcription and analysis of 100,000+ 17th-century legal documents as the only undergraduate on a graduate-level team. Standardized GitHub workflows, ensured data quality, and presented findings to MassMutual clients.
💻 Source Code in Repo
Analyzed COVID-19 policies across 10 countries using Azure and Power BI. Designed a star-schema database integrating 6 datasets and identified effective nonrestrictive measures that limited pandemic growth.
💻 Source Code in Repo