MIDS Fall 2016 Capstone Presentations

On December 19th, the fall 2016 datascience@berkeley graduates presented their capstone projects in a public webinar. For the capstone project, the graduates were tasked to solve a real-world situation or problem utilizing their data science skills in communication, problem-solving, influence, and management to provide a fully realized solution. Some groups tackled modern day occupational hazards of locating information on slack (Awaybot), or the removal of advertising tracking code from websites (Content-Aware Ad Blocking). Other groups focused on tools for healthcare. The Dr. Art: Diabetes Re-Admission Risk Tool allows physicians to use predicting modelling to better care for diabetes patients.    

Below we’ve compiled the full list of the capstones, short descriptions of each, and links to learn more about the projects:


autoCaret is a R package for helping business analysts and other enthusiasts understand how to begin building predictive models in R via automation. 

Gregory CeccarelliKyung Rock BaekMichael Marks



Awaybot creates summaries from the deluge of conversations on #slack so that you can find the exact information you're looking for.

Alexander Keivahn SmithCarlos Rodriguez CastilloGuillermo MongeKevin Davis


Content-Aware Ad Blocking

Chrome extension using machine learning to automatically detect and remove advertising and tracking code from websites.

Samuel KahnTom YedwabYiran Sheng


Dr. Art: Diabetes Re-Admission Risk Tool

A clinical decision-making tool that allows hospital staff and physicians to use predictive modelling to reduce diabetes readmissions.

Charles CarberyChris JepewayDaniel SheininJames Gray 



EstateTech allows the user to more easily locate investment properties.

Angela GuoJing XuJohn Tuthill


OptiLender: P2P Portfolio Optimization with Machine Learning

OptiLender uses Machine Learning to recommend portfolios that consistently outperforms the benchmark.With OptiLender, an investor can spend far less time on reading pages and pages of loan opportunities and understanding the various terms, and focus more on constructing a portfolio that one understands and is comfortable with. 

Daniel DowlerMarek SedlacekSu Yan


WAQ: Water Air Quality Project

WAQ is a toxic substance data consolidation platform which allows virtually any user easy access to their overall exposure levels of pollutants while providing the the ability to drill down into specifics with context, resources, and analysis seamlessly integrated into visualizations.

Ankit TharwaniAshley LevatoJames KingNina KuklisovaSean Underwood



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