Congratulations to All DataFesters!


We would like to thank all those who made the ASA DataFest 2018 event here at CWRU a great success. In particular, thanks to all the students who participated and made this event an engaging and positive learning experience!

Over the weekend of April 13-15 the department organized a DataFest event for the second time here on CWRU campus.  DataFest is a nationally-coordinated data analysis competition supported by the American Statistical Association, held at more than 40 universities. On a Friday afternoon, nine teams of energetic CWRU undergraduate students came to meet a large and complex data set, ready for 48 hours of intensive data wrangling and data analysis. The teams came up with creative, insightful and innovative ways to extract interesting information the data set. Some teams even utilized the high-performance computing (HPC) cluster here at CWRU for their computations. The weekend culminated in presentations for a panel of judges and we would like to congratulate all presenting teams on impressive analysis and teamwork. Teams that were awarded special prices were:

Unsupervised Learning: Peter Fedrizzi and Wyatt SaintClair (Best in Show)

Databeast: Zhihao Huang, Shangran Li, Muye Yu, Zhonghao Zhan, and Chi Zhang (Best Visualization)

ACJAT: Hanke Gu, Shiyi Qin, Yiyang Sheng, and Jiwei Yao (Best Use of External Data)

We would like to thank all our faculty, staff, and graduate students, our VIP consultants, who spent time over the weekend supporting the students and sharing their expertise in all things related to data and computing. Special thanks to our judges, Dorothy Leemhuis (Erie Insurance), Harjas Sidhu (PNC bank), and Dr. Wojbor Woyczynski (CWRU). Also, special thanks to UTech for not only granting students access to the HPC but also spending time with us over the weekend and helping teams use the cluster. Last but certainly not least, we thank our sponsors: PNC bank, Erie Insurance, the CWRU Steering Committee on Data Science, and DataCamp.
See you again next year!
Unsupervised Learning DataBeast ACJAT



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