Projects

AlliN1 - Tennis Backboard Shot Tracker

AlliN1 is an Android application that helps tennis players keep track of their progress with the AlliN1 backboard. A given tennis player attaches their phone to a mount on the backboard and selects a drill from the various drills available in the app. Assuming the player follows the pattern of strokes (e.g. forehand, backhand, forehand, backhand, etc.), the app will use its accelerometer to detect the shots from the vibrations that result from hitting the backboard. Those shots then get summarized in a dashboard, within which the player can toggle between various time periods to see how many shots they've hit within those periods.

Check it out here!

AIFEdge - Alternative Investment Fund Analyst Portal

AIFEdge is an analyst portal for the Alternative Investment Fund (AIF) at the University of Virginia (UVA). A good friend of mine and member of AIF brought up a potential issue that the fund kept track of the pitches that we actually invested in. But, the fund didn't really keep track of the pitches that we did not invest in. So, if a pitch that we did not invest in turned out to be successful, the fund may not have have been able to look back and see why we didn't invest in it. With this problem statement, I led and developed AIFEdge, a web application that stores and displays all of the analysts' pitches. The application also allows users to run and develop algorithms that help to understand the portfolio's performance. The application uses Django for its backend, PostgreSQL for its databases, AWS S3 for file storage, and Heroku for deployment. Around 60 members of the fund use it as a reflective tool for investment decisions and a tool to generate new ideas for pitches. Members continue to add new features and build new analytics tools for the application.

Check it out here!

OneFigrApp - UVA Journal Usage Analysis Application

OneFigrApp is a web application that all members of UVA faculty use to access the Universiy's academic journal usage and understand the prioritization of UVA Library's journal budgets. The initial spark of this project came when I worked with UVA Library's Research Data Services group to develop and evaluate the results of Python (Pandas, Matplotlib, Numpy) scripts that analyze UVA's journal usage datasets. Once the initial analysis was used internally by UVA Library's leadership team to negotiate with journal vendors, I led and developed OneFigrApp, which publicly displays a subset of our results to faculty to help explain prioritization decisions.

Check it out here!

Highlights