Who am I?

Applied mathematician specializing in computing, skilled in Python, data cleaning, data visualization, SQL, and mathematical modeling, seeking an analytics role to process complex datasets, uncover trends, and provide data-driven recommendations to identify actionable insights and strategies that drive growth and efficiency.

Recent Projects


People, Pollution, and Per Capita (GDP)

Python, SQL, PowerBI: Web scraping, data cleaning, and visualization into the intersection of population, greenhouse gas emissions, and GDP per capita of over 160 countries.

Music & Mental Health

SQL, Power BI: Do our personal music listening habits reflect our mental health? This analysis dives into the demographic differences that impact what we listen to and how we feel.


Social Network Research Project

Python: Using machine learning techniques to uncover hidden relationships across a diverse social network. Implementing a combination of Neo4j and DGL to generate insightful visualizations.