Selected from a pool of thousands of candidates to work closely with the leaders of RippleMatch’s Leadership Team. Leverage various growth strategies and tools including social media, email marketing, presentations, and peer & faculty member networking to grow the user base and awareness on campus. Strategically assess growth and performance metrics to improve, change and/or help design new growth strategies.

Improving mobility options in the Bay Area by identifying opportunities for policy action that can improve people’s lives through reduced emissions, climate pollution, and congestion; and improved transportation options, accessibility, and affordability. Querying the Bing Maps API for desired origin-destination pairs and creating a database with exported JSON files in Python. Using support vector machines to run a regression of how well trip duration and cost predict the choice to drive alone to work.

Researching the structure of human emotion by analyzing behavior through the use and location distribution of emojis in tweets. Web scraping 10 million old tweets with Python code that bypasses the time constraint limitation of the Twitter Official API. Integrating AWS’s Amazon EC2 and RDS services to run all code remotely on a cloud computing platform and efficiently collect data. Analyzing emotion distribution around the world using a 2-D histogram based on user location. Observing 28 human emotions.