
Detail-oriented professional combining executive support experience with data analytics expertise. Skilled in Python (pandas), SQL, and Excel to build dashboards, clean datasets, and surface actionable insights from financial and operational data. Proven track record managing executive calendars, tracking expenditures, and streamlining reporting for leadership.
Portfolio: github.com/AngelaTanu/fraud-detection-analysis
Cleaned and analyzed 284,807 credit card transactions in Python (pandas) , removing 1,081 duplicates to reach 283,726 verified records , to identify fraud patterns, uncovering a 0.17% class imbalance and isolating 4 key risk-indicator features through correlation analysis.
Translated core pandas findings into equivalent SQL queries for cross-tool reporting.
Portfolio:github.com/AngelaTanu/fraud-detection-analysis