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TRAINING SERIES FOR DATA SCIENTISTS:

Opti 202: Intermediate Mathematical Optimization for Data Scientists

Are you ready to take your data science skills to the next level? Building on the success of our Opti for Data Science training series, we’re excited to bring you Opti 202—an all-new, hands-on training event led by experts in optimization and data science.

In this interactive training, you’ll have the opportunity to work directly with industry experts, explore advanced use cases, and see firsthand how optimization can transform analytics. It’s the perfect opportunity to sharpen your skills and gain a competitive edge as a data scientist.

Who Should Attend?

•               Data scientists looking to deepen their optimization knowledge

•               Current Analytics or Operations Research students eager to add optimization to their toolbox

•               Analysts and technical professionals interested in decision intelligence

Note on the Opti Series: Did you miss Opti 101 and Opti 201? Not a problem, you can view both on-demand via our YouTube channel in the playlists linked above.

Attendees who complete the required sections of this training will earn a certificate of completion from Gurobi Optimization.

 

Register Now

Meet the Experts

View Bio

Jerry Yurchisin

Data Science Strategist
Gurobi Optimization

Jerry Yurchisin

Data Science Strategist
Gurobi Optimization

Mr. Yurchisin has over ten years’ experience applying operations research, machine learning, statistics, and data visualization to improve decision making. Before joining Gurobi, Jerry (who also goes by Jerome) was a Senior Consultant at OnLocation, Inc. where he customized several linear programming models within the National Energy Modeling System (NEMS) to analyze implementing specific energy policies and utilizing new technologies.

Ehsan Khodabandeh
View Bio

Ehsan Khodabandeh

Principal Operations Research Scientist, Decision Spot

Ehsan Khodabandeh
Ehsan Khodabandeh

Principal Operations Research Scientist, Decision Spot

Ehsan is a Principal Operations Research Scientist at Decision Spot, with knowledge in logistics and transportation industries. Over the years, he has worked with several Fortune 500 companies, including GE, Norfolk Southern, and C.H. Robinson. Ehsan has worked on a variety of supply chain projects and has focused primarily on network optimization and routing.​ He holds a PhD in Industrial Engineering and has been an Adjunct Lecturer at Northwestern Master of Science in Machine Learning and Data Science (MLDS) program since Fall 2019.​

Agenda

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