Feng Su Email & Phone Number

Redmond, Washington, United States

Greater New York City Area

 Designed and generated legible data structure with Python packages such as Pandas and Numpy which helped to process over 1500 missing values and integrated three data sources into one data frame Set up an added value model by using random forest with Python Scikit-learn to investigate the value added by different features such as directors, actors on the final box office which improve the efficiency of film makers to select suitable professionals Generated data visualizations by using Tableau, which largely shortened the time used by filmmakers to understand outcomes without digging into complex statistics or data science algorithms

Greater New York City Area

 Designed and generated legible data structure with Python packages such as Pandas and Numpy which helped to process over 1500 missing values and integrated three data sources into one data frame Set up an added value model by using random forest with Python Scikit-learn to investigate the value added by different features such as directors, actors on the final box office which improve the efficiency of film makers to select suitable professionals Generated data visualizations by using Tableau, which largely shortened the time used by filmmakers to understand outcomes without digging into complex statistics or data science algorithms

Greater New York City Area

1,Used Python t o firstly integrate and preprocess the data, then performed and compared multiple features selection methods such asvar iables ranking combined with expert s insights and wrapped methods and eventually fit out a baseline probability of defaultl ogistic regression model with 83% recall and 53% precision .2,Created data tables by using proper Python data structures and generated da ta visualization with Python packages such as Matplotliband Seaborn in multiple internal reports.3,Checked the limitations, observations, and findings recorded in several model or scenario testing reports, then d esigned andcomputed summary reports by using Excel

Shanghai China

1，Wrote SQL scripts to access E-payment trade data, used R to visualize the number and type of failure trade, then analyzed causes and impacts of failures and provided solutions in two monthly business reports of ChinaPay’s agent service.2，Coded with python to design and specify reporting format of ChinaPay’s products backtrack project instead of manual operation, which accelerated the process of whole project by 2 days before deadline.3，Designed the client-facing presentation showing the value added by ChinaPay’s card payment data and spotted the strength and market positioning of the service, summarized with rigorous logic in the PPT.

Shanghai China

1，Used R, Matlab and Excel to analyze the characteristics and future performance of listed company in the financial research reports for two list companies, which improved the accurateness of reports from previous models. 2，Extracted and concluded core message from strategy planning meetings of listed companies. Improved efficiency for analyst leader in understanding current fundamentals and future strategies of companies.3，Collected data and news from several financial trade platforms and analyzed the financial consequences of some financing decisions of list companies to write daily review on seven specific list companies.

Shanghai China

1，Coded with SQL to sort, clean and integrate data, and decreased the time spent on backtesting.2，Communicated with colleagues and contributed thoughts in designing the anti-cash out systems for an airline company.

Master'S Degree, Statistics

Bachelor'S Degree, Mathematics With Financial Maths, Major Gpa:3.7/4

core courses: Statistical Methods, Multivariate Statistics, Statistical inference, Statistical modeling in Finance, Martingales.

A-Level（Uk）, Further Maths，Maths，Physics, Mathematics :A+, Further Mathematics: A+, Physics ：A

Activities and Societies: Blundell's Basketball first team Blundell's Chinese Society