“A rigorous competition geared toward students with data science and
machine learning backgrounds, many at doctoral levels”
NEW YORK, NY – October 4 2017— Four students in Baruch College’s Master of Science in Financial Engineering (MFE) program kicked off the 2017-18 competition season by capturing third place out of 32 teams in the September 30th Datathon, a series of rigorous events for top quant and tech talent presented by Citadel and Citadel Securities in partnership with CorrelationOne. At each Datathon, student teams must tackle a large, complex dataset and present their conclusions to a panel of judges.
Wenhao Hu (team captain), Deyun Li, Weihao Vincent Li, and Matthew Lin, all who will graduate this December, competed against PhD, MS, and undergraduate students from such top-tier universities as Cornell, Columbia, and Yale, among others. The Baruch team implemented an XGB classifier for forecasting on the given data set.
“This win represents a truly spectacular result for our Baruch MFE students,” said Dan Stefanica, PhD, professor of mathematics and co-director of the Financial Engineering MS Program at Baruch College’s Weissman School of Arts and Sciences. “This competition is geared toward high-performing students with strong data science and machine learning backgrounds. Many of them are studying at doctoral levels.”
Sham Mustafa, co-founder and CEO of Correlation One, added, “Through the Datathons, what we try to do is look at an impactful, meaningful social problem and bring the best minds together so they can take a look at the data and come up with their own analysis.”
Poise Under Pressure
According to Dr. Stefanica, the Datathon not only tests analytical and technical abilities but also how teams can work through complicated information under tight deadlines. “At this Datathon, our students showed incredible poise under pressure,” he said, “and also the ability to deliver actionable work at the highest level.”
For more information about the MFE program, go here.
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