Data Analyst | Python • SQL • Tableau
Information Technology & Informatics graduate from Rutgers University–New Brunswick. Specialized in data analysis, visualization, and building data-driven solutions using Python, SQL, and Tableau.
I analyze and transform structured datasets into meaningful insights using Python, SQL, and visualization tools. My projects focus on data cleaning, exploratory analysis, and developing dashboards that communicate trends clearly.
With a background in Information Technology & Informatics, I enjoy building solutions that combine technical systems with data-driven decision making. I am passionate about using technology to make complex information more accessible, understandable, and useful.
Developed an end-to-end business analytics workflow using Python, SQL Server, and Tableau. Analyzed customer, product, order, and transaction data to create KPI reports, revenue analysis, profitability insights, and interactive dashboards for business decision-making.
Analyzed CDC Provisional Mortality Statistics data using Python, Pandas, and Tableau. Cleaned and transformed public health datasets, calculated population-adjusted mortality rates, and developed dashboards exploring state and demographic trends.
Analyzed Spotify audio features using Python and Pandas to explore relationships between musical characteristics, popularity, and listener trends through data visualization.