photograph of Daniel Jarratt

Daniel Jarratt

Data scientist

I have 5 years experience with data science, software engineering, and product management, with a focus on recommender and decision support systems.

  • I'm currently working on prediction of school dropout likelihood for state departments of education, where I can explore complex hierarchical time-based models.
  • For fun I use R and Stan to model football team strength and predict game outcomes, and I'm working on rigorous sports analytics model evaluation methods.
  • I also spend significant time with data science in service of college search and higher education enrollment management.

R, SQL, Java, Python

M.S. in computer science, University of Minnesota


Twin Cities, Minnesota, USA


Master of science in computer science

Bachelor of arts

  • , summa cum laude honors
  • television/radio production, humanities

Sports analytics

Work experience

Data scientist

Software engineerInfinite Campus
June 2015 - May 2016

  • software engineer for a student information system with 7 million students
  • development in Java and SQL

Recommender systems consultant — employer confidential
April 2015 - May 2015

  • advised company (2nd-largest in their industry) on designing and evaluating a recommender system
  • developed collaborative filtering and data mining prototypes
  • reported to the CTO and head of engineering

Software engineering internGoogle Now
May 2014 - August 2014

  • envisioned and developed a location-based recommendation feature, extending the Google Now service, with support from multiple teams
  • front-end development in Django, JavaScript, JSON, HTML, and CSS
  • back-end development in C++, Python, and Linux-based data center deployment

Recommender systems consultantGet Schooled
April 2014

Technical product managerPossibilityU
November 2011 - December 2013

Software side project full-time — College Recommender
January 2011 - November 2011

My work in higher education admissions led me to many families struggling to discover relevant and affordable universities. College Recommender was my solution: a system to infer preferences from a set of acceptable colleges, then recommend better (more affordable, better academic or cultural fit) options with similar features. This project required significant creativity and skepticism about then-current market wisdom; it was the first college recommender, followed four years later by others in the industry.

  • entrepreneur, software engineer, and product manager
  • envisioned and built a system to infer college search preferences and create personalized recommendations: collecting and interpreting the right data, database and algorithm design choices, user experience design, and evaluation along the way with students, families, and college admissions professionals
  • designed system to handle difficult properties of this recommendation domain: no rating or consumption history, complex preference elicitation, and multiple stakeholders, among others
  • developed in PHP and MySQL
  • sold this software to PossibilityU, who hired me as technical product manager

Non-technical roles

Scholarship program staffNational Merit Scholarship Corporation
August 2009 — January 2011

Admission counselorValparaiso University
August 2008 — August 2009

International office internReutlingen University
September 2007 — August 2008