Skills
Programming & Querying: Python (Pandas, NumPy), SQL (Joins, CTEs, Window Functions, Subqueries)
Excel & Analysis: Advanced formulas, pivot tables, conditional formatting, charting (NASBA-certified Excel coursework)
Visualization & BI: Power BI (DAX, KPI Dashboards), Tableau, Matplotlib, Seaborn
Modeling & Techniques: Predictive Modeling, Time-Series Forecasting, Clustering, Classification, PCA
Databases: MySQL, MongoDB, Azure SQL, Microsoft Fabric
About
Data Analytics graduate student (MS, Northeastern, Dec 2026) who enjoys creative problem solving with messy, real-world data. Strong quantitative foundation with hands-on experience in Python, SQL, and Excel-based analysis, alongside model building and dashboard development. Curious by nature and drawn to using data to drive better outcomes — comfortable working cross-functionally and iterating quickly as projects evolve.
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