|Description||Art and Science of Admissions|
Quantios (now MyFit) is a startup based out of Mountain View, California that seeks to transform the college admissions process by leveraging unprecedented amounts of data coupled with powerful proprietary algorithms. The first commercial application of this technology has evolved into a dynamic college portal where students and families can access analytics to inform their decision making.
|Tags||education, statistics, analytics, predictive-modeling, jason-mueller, max-hodak|
MyFit is a new service that aids students and parents through the stressful college admissions process by applying a market-leading analytical engine to applicantsâ€™ social and academic profiles, social networking profiles and personal interests to find their closest college matches. MyFit has built the first real-time ranking system that gives students a precise, statistically accurate picture of where they stand among current and historical applicant pools.
The timing of this powerful service is especially well placed in todayâ€™s economic climate. The college admissions process is extremely labor-intensive and costly, presenting most students and families with the one of the most important financial decisions they will make. MyFit offers this vast market a cost-efficient tool to help ease the stress of this process and to provide transparency and data where there is none today. MyFit currently offers many of its college matching services for free.
MyFit arms students and parents with the data and leads to make informed, fact-based decisions on how to focus a studentâ€™s curriculum and extracurricular activities to achieve their admissions goals. MyFit also serves the interests of universities by helping to match students with the best schools for them, which of course helps minimize costly transfers and drop outs.
MyFit has built a massive database of existing college studentsâ€™ test scores, activities, interests, social networking profiles and even music playlists. The company uses this social data in conjunction with traditional admissions data to build a profile of the ideal college applicant at several hundred colleges and universities throughout the United States.