Data Scientist with 9 years of modeling experience, strong skills in statistics, machine learning, programming, data analysis, business intelligence, and an insatiable intellectual curiosity. EB-1A green card holder: Individual of Extraordinary Ability (reserved for top researcher in their field).

Data Scientist @ WE ARE HIRING! See below. AirPR is a PRTech company that provides analytics, insights, and measurement solutions for the evolving PR industry. The company currently serves Fortune 500 and fast growing technology companies seeking to understand PR's impact on business objectives. AirPR is also the leading industry educator and technology solution focused on increasing overall PR performance. AirPR's unique approach to solving PR problems through applying "big data" has garnered media attention from CNBC, TechCrunch, Forbes, Mashable and more. Currently open positions: Customer success manager - https://www.airpr.com/jobs/pr_engineer Backend/Full-stack engineer - https://www.airpr.com/jobs/backend_engineer Frontend engineer - https://www.airpr.com/jobs/frontend_engineer Infrastructure/ops engineer - https://www.airpr.com/jobs/infrastructure_engineer Just an awesome engineer - you know you are, and if you are open to an awesome opportunity, let me know! From May 2015 to Present (6 months) San Francisco Bay AreaCo-Founder, CEO, Advisor @ • E-Commerce startup of luxury goods such as wallets, handbags and watches, targeting China market • Expanded company from 2 to 13 employees (US and China), achieved 4X revenue increase during 1-year tenure of CEO (8/2012 - 8/2013), currently serving as CEO Advisor • Conducted strategic planning, business intelligence analysis: e-Commerce market analysis, competitive analysis, customer classification, supply chain optimization, inventory control and logistic analysis • Designed and managed marketing campaign for customer acquisition and retention • Coordinated cross-functional team projects, constructed and implemented remote team collaboration platform From January 2009 to Present (6 years 10 months) San Francisco Bay AreaSr Data Scientist @ In the Customer Experience Strategy Research team, I design and implement cutting edge Machine Learning research projects to help shape the thought leadership in the global standard of Operational Customer Experience Management (OCEM). I discover deep insights gained from Medallia's vast amount of customer data, and help make both strategic and product decisions. • Initiated and leading predictive modeling project on financial benefit of customer experience, conducting analyses on three Fortune 500 companies that are leaders in perspective industry • Leading company data integration/warehousing project to construct centralized platform for big data analytics • Developed innovative significance testing method for Net Promoter Score (NPS) using Monte Carlo simulation From November 2014 to April 2015 (6 months) Palo Alto, CAData Analytics Bootcamp Fellow @ • 6-week intensive training on data science under mentors from top Silicon Valley companies • Topics: SQL, R, Python, data cleaning, visualization, case studies, marketing campaign design and analytics From August 2014 to September 2014 (2 months) Santa Clara, CAQuantitative Analyst @ ➢ Designed and implemented 5 major statistical models (risk identification, business cycle forecasts, performance predictions, data visualization, market modeling), reduced bank’s annual stress test modeling error by 22%, mined supplementary market data, advised Chief Risk Officer on loan initiative’s effect on bank’s risk exposure - Models: HMM, MCMC simulation, ARIMAX/VARX, multivariate regression, logistic regression, PCA, network clustering optimization, decision tree - Techniques: Oracle/SQL data query, data manipulation in SAS, Object-Oriented Programming GUI development in MATLAB, whatif analysis in Excel/VBA ➢ Led bank’s credit risk network clustering research, annual CCAR stress testing documentation, department’s software evaluation project (R, STATA, Hadoop, Tableau, etc.) ➢ Managed consulting team to build JavaScript (d3.js) and machine learning algorithm based visualization and analytical platform ➢ Initiated and implemented project management systems SCRUM and KANBAN From July 2013 to July 2014 (1 year 1 month) San Francisco Bay AreaResearch Associate @ ➢ Led research on the stability of flapping motion of fish swimming in potential fluid (published) ➢ Led development of vortex interaction model in viscous fluid ➢ Led research on 3D geometric structure of fish swimming ➢ Invited to give presentations in international conferences, including: IMA 2013, 7th SI Workshop From September 2012 to June 2013 (10 months) Greater Los Angeles AreaVisiting Assistant Professor @ ➢ Taught Differential Equations to 200 students, managed 5 TAs, received 3 Georgia Tech Teaching Awards in 2 semesters ➢ Consulted correlation analysis for Standard & Poor and optimization for Bloom Energy (solutions obtained in 1 week) ➢ Led research in 2 modeling projects, first-authored 2 papers in prestigious peer-reviewed journal, gave presentations in 5 (incl. 2 invited) international conferences From August 2011 to August 2012 (1 year 1 month) Greater Atlanta AreaCo-Founder, COO @ ➢ Developed revolutionary engine emission control system prototype ➢ Constructed business strategy, market analysis and financial plan ➢ Pitched to Venture Capital firms, finalist in 1st Maseeh Entrepreneurship Prize Competition From December 2010 to June 2011 (7 months) Los Angeles, CAResearch/Teaching Assistant @ ➢ Modeled vortex merging, visualized detailed stages for the first time in literature (published) ➢ Modeled fish swimming, determined stability conditions (published) ➢ Developed novel vortex interaction model, compared with numerical simulation (published) ➢ Formulated hurricane model, designed trajectory control algorithm (published) ➢ Analyzed stability of 3D underwater ellipsoidal vehicle ➢ Designed feedback control mechanism for multi-body spring-mass-damper system ➢ Invited to give talks in international conferences, including: 63th APS DFD Meeting, AMS West 2011, 16th USNCTAM, ASME 2009 IDETC, 46th IEEE CDC ➢ Taught Mechanical Engineering classes - AME453 - Engineering Dynamics - AME301 - Dynamics - AME443 - Control System Laboratory - AME526 - Engineering Analytical Methods: Ordinary & Partial Differential Equations From August 2005 to May 2011 (5 years 10 months) Greater Los Angeles Area

Data Science, Machine Learning, Financial Engineering @ CourseraPhD, Applied Mathematics/Mechanical Engineering @ University of Southern California From 2007 to 2011 M.S., Aerospace Engineering @ University of Southern California From 2005 to 2007 B.A, Economics @ Peking University From 2001 to 2005 B.S, Theoretical and Applied Mechanics @ Peking University From 2001 to 2005 High School Diploma @ Nankai High School From 1998 to 2001 Frank J. is skilled in: Mathematical Modeling, Data Analysis, Simulations, Numerical Analysis, Applied Mathematics, Analysis, Machine Learning, Optimization, R, SQL, Python, Statistical Modeling, Matlab, Programming, Entrepreneurship, Business Strategy, Linux, Modeling, Quantitative Analytics, Numerical Simulation, Monte Carlo Simulation, Teaching, GTD, Economics, Project Management, Mathematics, Optimizations, SAS, Econometrics, Research, Renewable Energy, Risk Management, Financial Modeling, Quantitative Finance, LaTeX, Fluid-Structure..., Mathematica, CFD, Mechanical Engineering, Fluid Dynamics, Fluid Mechanics, Physics, Dynamics, Vortex Dynamics, Analytics, Statistics, Leadership