I am an aspiring and versatile Applied Statistics/Quantitative Methods master’s student and Machine Learning/Natural Language Processing research assistant seeking full-time post-graduate position in data analytics in 2017 to generate insights from big data and provide informed business decisions. I am an ENFJ.

Proficient in implementing SQL queries and utilizing statistical analysis softwares like R and SAS to assess big data and develop advanced statistical models to fit data. Experienced with constructing and evaluating mathematical and computational models in Mathematica, MatLab, and Python. Experienced in programming with Python, Java, and Matlab.

Mastery of a wide range of data analysis and statistical modeling skills: Machine Learning (Neural Network, SVM), Natural Language Processing (Word2Vec), Regression (OLS, Robust, LOWESS, Curvilinear), Logistic Regression, ANOVA/ANCOVA, Experimental Design, Causal Inference, Robust Statistics, Maximum-Likelihood Estimation, Bayesian Inference, Statistical Computing, Probability Theory, Monte Carlo & Markov Chain (MCMC) sampling algorithm, Simulation and Bootstrapping, Black-Scholes Pricing, Graphical Data Analysis, Exploratory Data Analysis (EDA), Model Selection, Factor Analysis/Principal Component Analysis, Structural Equations Modeling, & Item Response Theory (IRT).