MIDS Spring 2016 Capstone Presentations

On May 2, the spring 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 safety concerns with projects like SmartCam, a surveillance camera optimization application, or SafeRoad, designed to prevent all fatalities due to traffic collisions. Others focused on streamlining the kitchen. The Naïve Baker helps plan meals using pantry items and personal preferences, while Predicting Demand of Beer Styles will revolutionize the brewing industry by providing insight on the demand for select beers in a given region. Below we’ve compiled the full list of the capstones, short descriptions of each, and links to learn more about the projects.

This year also saw the introduction of the Hal R. Varian Capstone Award. Named after Hal R. Varian, founding dean of UC Berkeley’s I School and current Chief Economist at Google, the award was given to project groups based on an exceptional demonstration of the skills and tools achieved at the culmination of the MIDS program.

The Winning Projects for the Spring 2016 Presentation

First Place


  • Tomographica is an artificial intelligence tool for radiologists. With higher sensitivity and fewer false-positives than any offering currently on the market, we can automatically detect lung nodules in thoracic CT scans.
  • Tom KunickiRyan ChamberlainJanak MayerCharles Maalouf

Second Place

Soybean Yield Prediction: Using Satellite Imagery to Predict Commodity Yields

Capstone Project Presentations for the Spring 2016

Below is a summary of the Spring 2016 capstone project presentations:

ACCOUNTability: An analysis of consumer financial complaints database

  • Our project website provides insights into the consumer finances complaint database. We aim to help to consumers, regulators, and others.
  • Murat AydogduGopala Tumuluri



Dementia Dx

Income Inequality

  • What is income inequality in America and why should it matter to you? Our goal is to help you understand what income inequality looks like and to identify the many components that make up what it takes to live and to thrive in the United States today. To do so, we’ve compiled data and developed visualizations from many different aspects of income.
  • Steven SchaeferJared MaslinEric Freeman

Job Fiction

  • “Job Fiction”, a tool to help job seekers find Data Science jobs. It models creates the job seeker’s ideal fictional job and finds jobs that fit best both contextually and matching user preferences. Unlike other job search tools, this tool does not rely solely on key words and job titles. Job Fiction finds the perfect jobs without prejudice to job.
  • Rajesh ThallamAngela GunnStephane Truong

Predicting Demand of Beer Styles

Project Alien Worker

Ratings Reviewed

  • Ratings can be very subjective. We use the written reviews from the Yelp Academic Dataset to produce a standardized star rating.
  • Tim DavidJasen JonesMalini Mittal


Should I Go

  • Most travel recommendation engines focus on the body of the bell curve – the most likely duration of your trip. The best estimate. Our tool provides visibility into tail events – the “black swans” of the distribution. We combine data about special events with historical information on traffic congestion to predict which neighborhoods to avoid.
  • Mandeepak Singh Leanne BradleyJohn Bocharov


The Naive Baker

Tourist Concierge

Citation for this content: datascience@berkeley, the online Master of Information and Data Science from UC Berkeley