My Experience

Working Experience


  • Jul, 2020 – Present, Remote, D.C., USA

    Neighborhood Rescue of America

    Data Analytics Team Tech Lead
    • Scraped over 100k open crime data and shapefiles in DC using Python; automated data extraction and data preprocessing, and achieved a 30% decrease in time of data exploratory and cleaning processes; Created multi-layer interactive maps using Python folium; embedded maps on NRA website, which now serves as a tool displaying community resources for kids’ success.
    • Constructed logistic regression, random forest and LGB models to predict LinkedIn responses; achieved 94% accuracy after tuning; identified feature importance using SHAP; increased 50% efficiency in notes sending and potential partner matching.
    • Built a full-stack animal abuse registry web application using Django, crawled data from dynamic ebpages using Python Selenium, and extracted key features by regular expression; stored static files in AWS S3 buckets and connected clean data to PostgreSQL database in AWS RDS instance; wrote JavaScript, HTML, and CSS as frontend.
    • Led team of 5 to work on various projects; adminitrated 4-week data & research internship program, coached and provided assistance to the new hires.
Jun, 2019 – Aug, 2019, D.C., USA

Hedgeye Risk Management, LLC

Financial Data Analyst Intern
  • Improved the accuracy of existing model that predicts potential investment opportunities (net total return over the next 10 day) by analyzing the underlying market movement factors and identifying potential market growth cycles.
  • Extracted 15-year of financial data for over 50 countries via Bloomberg API, built relational database and processed data (lags, aggregation, transformations, rolling means) in MySQL Workbench to effectively store data and remove data seasonality.
  • Applied PCA to reduce dimensions and noise with Python; implemented model stacking technique with logistic regression and XGBoosting algorithm, and achieved a 8% increase in the final prediction accuracy.
  • Created interactive visualizations with dropdown options using Excel and VBA in order to communicate findings efficiently to nontechnical parties; automated the prediction process with Windows Task Scheduler and saved 5 hours for each run.

  • Jun, 2019 – Aug, 2019, Remote

    Development Dimensions International, Inc.

    Business Analytics Intern
    • Investigated the “Best Internship Program Research” project, collected data from the National Bureau of Statistics to estimate market size using Excel, investigated common characteristics of successful internship programs from top companies.
    • Drew insights for a redesign of the company structure, presented results using PPT and Tableau Dashboard.
    • Designed and conducted survey of over 200 effective participants and conducted expert interviews; implemented NLP algorithm in order to uncover targeting opportunities geared toward internship-seeking members of Generation Z.
Sep, 2019 – May, 2020, Washington, DC

Georgetown University

Teaching Assistant
  • Led labs and held office hours for non-majors seeking an introduction to computer science and Python programming.

  • May, 2018 – Aug, 2018, Shanghai, China

    SINI-US United Metlife Insurance Co., ltd.

    Summer Intern
    • Co-monitored and supported “2018 Internal Audit Project”; composed “User Manual” for 3 data extraction systems for future guidance.
    • Supported and followed up with MetLife China’s Third Party Vendor Risk Assessment acting as the liaison between local IT Security team and Risk Management team in India.

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