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Online Business Analytics Course Instructors

The instructors of the University of Chicago Graham School Business Analytics certificate are leaders in Chicago’s analytics industry. Our instructors have extensive knowledge and experience in working with data to make evidence-based decisions, as well as connections to the industry to bring in real-world problems so that learning is relevant for students’ career advancement goals.

Yuri Balasanov, PhD
Dr. Balasanov earned his Master’s degree in Applied Mathematics and Ph. D. in Probability Theory and Mathematical Statistics from the Moscow State University, Russia. His primary expertise and research interests are in the area of stochastic modeling and advanced data analysis with applications in many fields including finance and economics, marketing, biology, medical studies, etc. Yuri has led many research teams running data analysis projects and developing well known statistical software. He has published multiple articles with his academic and applied research and presented at scientific conferences across the world. Yuri spent significant part of his career in major institutions of financial industry as quantitative researcher, quantitative trader and head of trading research, Chief Investment Officer and risk manager. He is the founder and the President of Research Software International. He combines his work in the industry with years of teaching experience at the Moscow State University, Department of Mathematical Statistics and the University of Chicago, Graduate Program on Financial Mathematics and Graduate Program on Analytics.
Anil Chaturvedi, PhD
Dr. Chaturvedi has over 25 years of professional experience at companies such as AT&T Bell Labs, Kraft Foods, Capital One, and Accenture. He has provided consulting services to Bank of America, Fannie Mae, Johnson & Johnson, and Proctor & Gamble.  His general research interests include the areas of multivariate analysis methods for Big Data – multi-linear models, information mining, and business insights.  He has co-authored a book "Mathematical Tools for Applied Multivariate Analysis" with the Late Professor Paul Green (University of Pennsylvania) and Professor J. Douglas Carroll (Rutgers University). He has patented and published analytical methods for Direct Marketing and Information Mining, Market Segmentation, New Product Development, Product Positioning, Customer Loyalty, Consumer Promotion Mix optimization, and Brand Strategy. He completed his PhD from Rutgers University, and PGDM from IIM Ahmedabad, India.  
Nick Kadochnikov
Nick Kadochnikov is a Principal Data Scientist at IBM Chief Analytics Office. Nick’s focus is in the areas of predictive analytics, text analytics/social media analytics and change management. He is equally experienced in both “doing” analytics as well as “consulting” on analytics, which includes integrating analytical projects into the business processes to improve their effectiveness and efficiency. In his professional career Nick has been applying analytics to various areas of the business, such as Marketing, Sales, Fraud Prevention, Product Development and Financial Optimization, utilizing advanced data mining techniques, building econometric models, and working with Big Data, including: Client Wallet estimates, Segmentation, ROI for Smart, Propensity to Buy, Development Productivity and Social Business. He holds an MS in Economics from St. Petersburg State University and MS in Global Marketing Management from Virginia Commonwealth University.
Ashish Pujari
Ashish Pujari has over 15 of experience in software engineering, IT strategy, and consulting. As a Director of Technology at IRI, Ashish leads the design and development of business analytics solutions for retail and CPG clients. He has successfully engineered highly scalable platforms for retail assortment optimization, pricing and trade analytics, and statistical modeling. Prior to joining the retail industry, Ashish was a Lead Technology Architect in finance, brokerage, banking, insurance, and communications domains for clients in Europe, North America, and Asia. He specializes in big-data analytics, cloud computing, algorithm development, application and database design, and decision management and visualization technologies. He also has vast experience with Agile methodologies and offshore development best-practices. During his early career, Ashish was a core team member in the first reference implementation of a BPML engine. Ashish has also contributed to open source projects and is an active member of several technology communities and user groups. He earned a Bachelor’s in Electrical Engineering from the National Institute of Technology, Rourkela and is currently pursuing a Master’s of Science in Analytics at the University of Chicago. His research interests include parallel and distributed systems and machine learning.