A highly immersive Data Science Bootcamp involving hands-on expertise on SQL, R and Python development, machine learning, big data using Hadoop/Hive/Spark, statistics and analytics, data visualization, web scraping.• Interactive Shiny App: Developed a Shiny app to help make decision on higher education and college selection with College Scorecard data to visualize institutions geographic distribution and analyzed major features including admission rate, SAT score, major, family income, cost, debt and earning for each institution • Web Scraping: Built a dataset by web scraping S&P 500 companies’ statistics data from yahoo finance using Selenium, and implemented analysis by comparing sectoral average of Market Cap and Enterprise Value to understand sector performance, as well as score-rating each stock in different sector based on selected key metrics which are Price/Sales, Price/Book, Enterprise Value/Revenue, Enterprise Value/EBITDA, and Qtrly Revenue Growth to find high-return stock• Housing Prices in Ames, Iowa - Kaggle Machine Learning Project: Performed exploratory data analysis, data cleaning and feature engineering on dataset and predicted housing prices using python scikit-learn with multiple linear regression (lasso/ridge/elastic net), random forest and gradient boosting• Capstone Project: - Collaborated with data science team of global top-2 beverage manufacturer to understand customer preference and build a drink recommendation system by analyzing data generated from drinking machine- Merged beverage dispenser data with consumer image capture data in out-of-sync time stamps - Analyzed and visualized clean data to illustrate beverage consumption details including consumer age, emotion, flavor shot, and gender using Python and Tableau dashboard - Implemented supervised model with logistic regression and Naïve Bayes to classify drink flavor preference and created unsupervised model with PCA for feature evaluation

Working on Equity Research team in a private equity firm focus on secondary market investment• Conducted fundamental analysis on three stocks in healthcare and TMT industry, wrote in-depth analysis report and built corresponding earning models• Gathered and analyzed biological medicine industry data for industry monthly report

• Quickly learned in China asset management industry on onshore and offshore investment by structuring client meeting minutes focus on progression in CTA funds, QDLP scheme as well as real estate debt and equity investments • Prepared presentations and articles by doing research on topic of asset allocation, quantitative investing, and machine learning application in investment for country chair public speaking• Ensured consistent communication as key liaison for country chair in internal units and external parties• Figured out a 12% operational cost cutting solution by generating budget and cost financial report analysis

• Identified potential investments by conducting in-depth medical and pharmaceutical industry analysis and company valuation analysis on bioscience startups• Conducted on-site due diligence for ¥30M investment in ICE bioscience, a premier safety and R&D service provider expertise in electrophysiology

• Improved quality and efficiency of internal databases by summarizing and analyzing country-based profiles on financial bribery, fraud and legal compliance projects