Skills

CFA Level I, CFA ESG, familiarity with financial markets and instruments, portfolio theory, risk-return evaluation, financial statement analysis, and ESG frameworks.

Python, SQL, Stata, Tableau, Excel, and PowerPoint for data cleaning, feature engineering, missing-value treatment, anomaly detection, dashboarding, automated checks, and management reporting.

Experience with Logistic Regression, Lasso, SVM, Random Forest, XGBoost, CNN, RNN, and Transformer workflows, including validation-set tuning, out-of-sample testing, and walk-forward evaluation.

Strong at KPI monitoring, operating analysis, strategy review, cross-functional execution, and translating analysis into clear business recommendations.