Programming: Python (Pandas, NumPy, Scikit-learn), R (ggplot2, dplyr)
Databases: SQL (PostgreSQL, SQLite)
Analytics Tools: Tableau, Power BI, Excel (Power Query/Pivot Tables)
Machine Learning: Regression, Classification, Time Series Forecasting
Methodologies: Statistical Modeling, Event Studies, A/B Testing, Risk Modeling
Finance & Insurance: Liquidity Risk, Credit Risk, Market Microstructure
Healthcare: Clinical Risk Prediction, Patient Segmentation
People Analytics: Attrition Modeling, Workforce Optimisation
Real Estate: Property Valuation, Market Trend Analysis