Amarcord Incorporated: Combating Money-Laundering Case-Used data analytics to combat money laundering by cleaning and managing large amounts of data and ensuring validity of data for processing. Gained experiences using the following regression models: Simple Exponential Smoothing (SEC), Holt's method and Winter's method.Tesla and Colgate Valuations-Identified relationships and trends in data by analyzing and processing data for statistical modeling by using Discounted Cash Flow (DCF), Adjusted Present Value (APV) and Option-Pricing models. Reported results of analysis by building graphs, charts and tables.

Assisted HR department with hiring process.Confirmed salary levels and salary expectations for daily workers.Supported purchasing decisions by verifying and comparing prices of materials by contacting suppliers.Assisted accountant with required tax filings.

Served as point of contact for 6 main educational organizations and performed 6,000 surveys.Applied logistic regression models and confirmatory factor analysis. (Software: SPSS, MS Excel, AMOS). Wrote a paper and published on Journal of Shanghai University of Sport.

Performed eye movement experiments on 500 participants and collected data (Software: Eye-link).Conducted analysis of variance (ANOVA) and provided recommendations for optimum product placement strategies. (Software: SPSS)Published a paper and delivered a presentation in The ISSP 13th World Congress of Sport Psychology.

Built a prediction tree and applied the model to predict opponent’s moves. (Software: Observer XT)Collected 50,000 frames for data analysis and processed them by SPSS. Analyzed the performance of main opponent teams and provided strategic suggestion to Chinese coaches.