A detail-oriented data analyst/scientist with experiences in research and data visualization, proficient in Python, R, SQL, Looker, and Tableau. A motivated team player with the ability to systematically approach real-world challenges and provide data-driven business insights.
Thesis "Evaluating Rio Olympics' Legacy of Urban Regeneration" Conducted text and sentiment analysis on TripAdvisor reviews
Relevent Coursework Lineaer Algebra, Applied Regression Analysis, Methods of Political Research, Introduction to Statistical Reference
Projects Machine Learning: CitiBike | Machine Learning: Ames Housing Prediction Web Scraping: Rent the Runway | R Shiny App: Google Merch Store
Other Coursework Big Data: Hadoop, Spark, Hive Digital Marketing: Digital Media Formats, Programmatic Advertising, User Data Regulation
Projects ranging from analysis to designs
Read about how I solve problems and deliver insights.
Utilized K-Means clustering and random forest classification to provide a network balancing tool for CitiBike in NYC.
Performed analysis on Ames housing market and trained multiple regression models.
Created a Shiny app using R to conduct a funnel analysis on Google Merchandise Online Store by querying data from BigQuery.