Instructionally assisted for courses including Differential Equations, Graph Theory, and Statistical MethodsGraded homework assignments, and provided feedback to students given the graded basis

Replicated key experiments from groundbreaking paper "Anomalies and the Expected Market Return", revealing strong out-of-sample predictive power of anomaly portfolio returns on market excess returnsReduced high-dimensional datasets and leveraged advanced shrinkage techniques such as machine learning and forecast combination to study 100 representative anomalies, results showed better performance than stochastic random walkExtracted critical time points from 100 detected market anomalies, gauged market sentiment by assessing main narratives on stock discussion forums, and demonstrated the feasibility for institutional investors to capitalize on behavioral biases, including trend-chasing, overconfidence, and loss aversion, to generate excess returns

Conducted a GenZ talent analysis, collecting and cleaning 600+ survey responses using Python and Qualtrics, resulting in 40+ actionable datasetsAnalyzed recruitment strategies of 10 industry leaders, identifying high-potential channels and improving XD talent acquisitionProposed enhancements in employee benefits and work environments, leading to a 5% increase in average number of applicants per position