Data Science Business Intelligence

Soong Ping H. Hill (M.S Data Science)

**** *********** ***** *********, **********, D.C 20007

+1-415-***-**** *****@**********.*** https://www.linkedin.com/in/ping415/ GitHub

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EDUCATION

Georgetown University Washington, D.C Aug 2024 - May 2026

● Master’s in Data Science (DSAN)

Boston University College of Arts and Science Boston, MA Aug 2020 -May 2024

● Bachelor of Arts in Neuroscience, Minor in Data Science WORK EXPERIENCE

Center for Retirement Initiatives Washington, D.C September 2024 – Present Data Research Analyst (Georgetown University)

● Analyzed state program data, creating monthly reports on financial metrics and retirement trends in Tableau

● Conducted data collection, cleaning, and uploading datasets, utilizing SQL and Excel for data integrity

● Collaborated with stakeholders to identify new research inquiries and provide evidence-based insights RESET.BUILD Shang Hai, China June 2024 – August 2024 Data Science Intern (BU Shanghai Internship Program)

● Developed Python scripts to automate big data cleaning, extraction, format corrections, and air quality analysis, saving 8 hours of manual work for each new dataset processed

● Collaborated with cross-functional teams to design and implement data dashboards in Google Looker Studio, improving data access and driving insights for stakeholders Ecommerce Store San Francisco, CA June 2023 – Present Owner and Manager

● Managed e-commerce store with $15,000 in revenue, handling inventory, customer service and marketing

● Integrated Google Analytics to track web traffic, user behavior, and conversion rates, optimizing ad spending PROJECTS

Voting Rate Analysis and Predictive Modeling

● Integrated U.S Census Bureau API to collect and process demographic and socioeconomic data related to voting rates

● Applied clustering techniques (K-Means, DBSCAN, Agglomerative Clustering) to segment voters by behavior

● Built and evaluated predictive models (Random Forest, Regression) to analyze key factors influencing voting rates and predict voter participation trends.

Statistical Analysis of Airbnb Listing Prices Across Cities

● Conducted statistical analysis (t-tests, ANOVAs, correlation, chi-squared) to evaluate how location, host status, and other factors impact Airbnb pricing

● Visualized data patterns with ggplot and presented actionable insights to optimize pricing strategies for hosts Covid-19 Data Analysis and Policy Identification

● Integrated COVID-19 data from three sources into data lake via Azure Data Factory, prepared for processing in Azure Synapse, and analyzed in Power BI to identify the top three policies for controlling COVID spread Analysis of U.S Airline Operational Performance

● Queried Bureau of Transportation Statistics flight data using SQL to analyze delays and cancellations across airlines and airports.

● Created an R-based report with visualizations to assess operational efficiency and highlight opportunities for improving flight scheduling and customer experience

● Identified key delay and cancellation factors, providing data-driven insights to enhance airline performance TECHNICAL SKILLS

Proficient: Python, R, Pytorch, Looker Studio, Tableau, SQL, AWS, Microsoft Azure, Visio, Excel, Powerpoint Familiar: HTML, Snowflake, CSS, MATLAB, Swift, DBT, Power BI, Hadoop, Big Query, ArcGIS Spoken Languages: English, Mandarin, Cantonese

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