Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
Tobi Bosede

Tobi Bosede
Machine Learning Engineer, Johns Hopkins

@AniTobiB

Tobi Bosede is a machine learning engineer at Johns Hopkins University. Previously, she was a reviewer for Bayesian Methods for Hackers and taught R programming at Johns Hopkins University and Python programming for General Assembly. Tobi’s professional work spans multiple industries, from telecom at Sprint to finance at JPMorgan. She holds a bachelor’s degree in mathematics from the University of Pennsylvania and a master’s in applied mathematics and statistics from Johns Hopkins University.

Sessions

2:55pm3:35pm Wednesday, September 27, 2017
Data science & advanced analytics, Strata Business Summit
Location: 1A 18 Level: Intermediate
Secondary topics:  Financial services
Tobi Bosede (Johns Hopkins)
Whether an entity seeks to create trading algorithms or mitigate risk, predicting trade volume is an important task. Focusing on futures trading that relies on Apache Spark for processing the large amount data, Tobi Bosede considers the use of penalized regression splines for trade volume prediction and the relationship between price volatility and trade volume. Read more.