- Developing models that integrate state-of-the-art machine learning techniques with fundamental principles of cognitive science and mathematics.- Building real-life, sophisticated analytics solutions that support machine learning.- Communicating machine learning concepts, methods and results across organizations and with external stakeholders.- Risk modeling and assessment, portfolio optimizations and diversification. - Data Mining, Data engineering and visualization, Text analytics, decision making under uncertainty and risk, hedging, credit and insurance risk modeling, time series and forecasting, optimization, etc. -Python, R, Tableau.