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• * Applied Finance Project: Applied Machine Learning to Predict Consumer Defaulting on Loan in Python * Data Analysis: Manipulate, Clean and Analyze Structured and Unstructured Data from Database System Using Python, R, Matlab and Sas * Statistical Modeling: Bond Portfolio Management, Capital Asset Pricing Model, Fama-French Three Factor Model, Variance Reduction and Stationary/Non-Stationary Time Series Analysis, Arma/Garch Models, Return/Volatility Forecasting * Mathematics:… Show More * Applied Finance Project: Applied Machine Learning to Predict Consumer Defaulting on Loan in Python * Data Analysis: Manipulate, Clean and Analyze Structured and Unstructured Data from Database System Using Python, R, Matlab and Sas * Statistical Modeling: Bond Portfolio Management, Capital Asset Pricing Model, Fama-French Three Factor Model, Variance Reduction and Stationary/Non-Stationary Time Series Analysis, Arma/Garch Models, Return/Volatility Forecasting * Mathematics: Stochastic Processes, Ito’S Calculus, Black-Scholes Model, Monte Carlo Approach, Binomial Tree, Statistical Inference for Regression, Multivariate Regression in Matrix Form, * Programming and Database Skills: Python (Pandas, Numpy, Jupyter), R, Matlab, Sas, Git, Hadoop (Mapreduce) Show Less
• * Researched A Binomial Tree Combined with Hull-White Method and Shifted Lognormal Distribution to Price American-Style and European-Style Asian Basket Options in Matlab * Programming Skills: C, Java, Mysql, Matlab, Php, Parallel Programming (Mapreduce, Openmp and Mpi) * Machine Learning: NaïVe Bayes, Logistic Regression, Random Forest, Svm, K-Means, Pca and Tools (Python: Scikit-Learn) * Gre Quantitative: 170