Weizhen (Stephen) Kong Email & Phone Number

Washington Dc

• Played the key role in the team of 4 in conducting institutional analysis by implementing web scraping technique using Python, transforming the scraped data into structured format, as well as managed and updated existing database• Processed and analyzed survey data, created purpose-designed visualization to detect key measurements in school rankings• Developed ranking dashboard using VBA in Excel to monitor the influence of factors on universities rankings, provided head of the office with intuitionistic tool to make decisions on strategy adjustment

• Conducted 1v1 appointments with students, staff, and faculty helping them to learn Python and R and understand statistical analysis including GLM, Logistic Regression, Random Forests, Decision Trees, Neural Networks and social network analysis• Instructed a university-wide workshop of text analysis in Python for 50+ students and faculties with excellent satisfaction

• Evaluated and developed existing work, built ETL pipeline to extract tables from +500 MB XML files, designed cleaning functions to transformed raw tables into standardized structured dataset to ensure sustainable analysis by researchers in IMF• Pre-defined lists of keywords for economics and political risks with IMF top economists, identified self-proposed, economist- approved risk index using probability metric, extracted keywords/index from more than 700 reports using Regular Expression• Created pipeline to implement machine learning models, including Latent Dirichlet allocation and Jacobian Matrix, to determine the similarity of 189 IMF member countries, provided it as a common measurement which is reused by all relevant researches• Customized graphics using Plotly in Python and Tableau dashboard for data visualization, independently presented the projectwith policy recommendations in IMF-wide text analytics workshops facing a broad audience including non-technical researchers• Integrated existing ML models and dashboard via Knowledge Discovery on IBM Watson platform for IMF long-term usage• The average use of the product is more than 100 times per week by different departments for country-related researches

Washington D.C. Metro Area

• Collected information about venture capital, conducted clustering analysis of social enterprises using hierarchical cluster analysis and K-means cluster analysis, reported to supervisors to assist them make assessment of competitivity• Conducted analysis on start-ups to monitor their financial health and operational performance for planning resource allocation

Beijing City, China

Managed information of ABS projects completed recently and formulated three ABS reportsAnalyzed amount published each round for total three rounds and established one VBA program for testing

Master'S Degree (Stem), Information System Technology (Certificate Of Business Analytics)

• Areas of focus: Quantitative and Qualitative Analysis, Machine Learning and Natural Language Processing, Web Analytics, Information.

Bachelor'S Degree, Applied Economics

Activities and Societies: ENACTUS Students Union, Public Relations Department Member Football Team, Member• Thesis Title: The Significance.

Summer Program, Management Communication, A-

Majored in management communication in Cornell summer program Got A- in one month course