Portfolio
I am now in the world of data science and machine learning, where I have been applying the same curiosity and knack for problem-solving that brought be success as a researcher during my math PhD and postdoc, together with the skills I acquired in the intensive Springboard data science program. I am experienced with the full cycle of a data science project, including wrangling/cleaning data, exploratory analysis, reporting, and visualization using Python and SQL. In addition to being a curious investigator, I am a confident programmer and relentless trouble-shooter. I am also adept at presenting highly technical findings to both experts and non-experts, having presented my research at 10+ conferences and seminars and taught a number of undergraduate calculus courses throughout my career in academia.
Below is a selection of the data science and programming projects I have completed in the past couple of years.
Personalized Los Angeles Movie Screening Tracker
Python tool that identifies movie screenings at independent movie theaters in the LA area from user-provided lists of movies.
Verification of an Election-based Consensus Algorithm
Overhaul of an existing model of a consensus algorithm in a distributed system, changing from a first-come-first-serve algorithm to a voting algorithm. Formally verified that the algorithm behaves as desired.