Shahbaz Chaudhary is a highly skilled professional with a diverse educational background in analytics, machine learning, computer science, and business.

He obtained a Master of Analytics with a focus on Machine Learning and Statistics from the prestigious University of Chicago, showcasing his expertise in data-driven decision-making.

His Bachelor of Science in Computer Science from the University of Michigan and BSc in Computer Science/Business from Western Michigan University laid a strong foundation for his career in technology.

With a wealth of experience in the industry, Shahbaz has held key positions at renowned organizations, including his current role as Senior Manager of Data Science at Charles Schwab.

His past roles range from being a Lecturer at the University of Chicago to holding managerial positions at Charles Schwab. Additionally, he has worked as an Independent Contractor, Software Engineer, and Programmer for various institutions like Wolverine Trading, Bank of America, and Streamingedge.

Prior to his current role, Shahbaz served as a Vice President at Trade Informatics and gained significant experience as a Developer and Term Structure Consultant at multiple financial institutions such as Goldman Sachs, Wells Fargo, and Jefferies.

With a background in algorithmic trading, Shahbaz also worked as an Algorithmic Trading Engine Developer and Programmer at leading firms including UBS and Knight Frank.

His versatile skill set and extensive experience in the finance and technology sectors make him a valuable asset in the field of data science and analytics.

Shahbaz Chaudhary's journey through academia and various professional roles has equipped him with a unique blend of technical expertise and industry knowledge, making him a distinguished professional in the data science and finance domains.