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Program Faculty

Certificate in Business Analytics — Online Program

(Joseph) Bryan Bennett

(Joseph) Bryan Bennett

Email (Joseph) Bryan Bennett

Bryan Bennett is a seasoned educator with experience developing curriculum and delivering adult education courses in both online and in-person classroom environments. A proven education program leader with experience managing and overseeing the expansion of large-scale programs, Bennett is a skilled project manager with a history of successfully managing and executing deliverables for multimillion-dollar implementations on time and on budget. His exceptional leadership and team building skills have resulted in committed and empowered teams. A thought leader with work recognized by the Gartner Group, he has written a white paper published in an international journal. Bennett is a national presenter in the areas of consumer insights, executive leadership, customer relationship management, and healthcare technology. He received his MBA from Northwestern University’s Kellogg School of Management.


Anil Chaturvedi

Anil Chaturvedi

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Currently teaching:
Marketing Analytics

Anil 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 Procter & Gamble. Chaturvedi’s general research interests include multivariate analysis–multilinear models, information mining, and business insights. With the late Paul Green (University of Pennsylvania) and J. Douglas Carroll (Rutgers University), he coauthored the book Mathematical Tools for Applied Multivariate Analysis. Chaturvedi has patented and published analytical methods for direct marketing, information mining, market segmentation, new product development, product positioning, customer loyalty, consumer promotion mix optimization, and brand strategy. He earned his PhD from Rutgers University and PGDM from the Indian Institute of Management Ahmedabad.


John Derwent

John Derwent

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John Derwent is the analytics content manager at Boston Consulting Group and has managed employees, contractors, and partner relationships in Europe, Asia, and the Americas. Previously he worked with SPSS, where he built a team of curriculum developers covering all aspects of predictive analytics, from data gathering to analysis to reporting. At both SPSS and Apropos Technology he modernized training delivery to include live and asynchronous online training. Derwent was a content expert for the redesign of IBM Global Training curriculum architecture focusing on distance learning, self-paced learning, and content reusability. Architect of the data mining and enterprise operational analytics curricula at Northwestern University’s School of Professional Studies, Derwent has over seven years of experience as a corporate trainer in telecommunications and analytics spaces and over five years of experience in leadership and professional development. He holds MS and PhD degrees in applied mathematics from Northwestern.


Elbert Hearon

Elbert Hearon

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Elbert Hearon is a marketing analytics manager with Discover Financial Services. Hearon has extensive experience building, implementing, and using predictive analytics for marketing, operations, and risk management in the financial services and credit industries. He has also taught quantitative courses in mathematics, statistics, and operations research at both the undergraduate and graduate level. Hearon holds an MS in applied statistics from DePaul University, an MBA from the University of Chicago, and a bachelor’s degree in mathematics from Indiana University–Bloomington.


Lance Levenson

Lance Levenson

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Currently teaching:
Advanced Modeling Methods

Lance Levenson is a Senior Data Scientist and Analytics Team Lead at Walmart Labs where he is responsible for architecting, designing, and implementing enterprise level machine learning and analytics products and services for various internal business groups across the globe. Prior to Walmart, he was an analytics consultant working with various trading firms and hedge funds in the Chicago and New York areas, building and implementing quantitative and predictive models using massive financial datasets. Over the course of his career, Levenson has developed many tactical and strategic investment initiatives including relative value strategies, commodity and energy market-making algorithms, fixed income basis/duration/curve trades, real-time dynamic portfolio management frameworks, and advanced-options market-making algorithms. He is an experienced instructor of quantitative disciplines at both the undergraduate and graduate levels, having held instructor positions in the fields of physics, astronomy, mathematics, and methods of teaching mathematics. Levenson also teaches the Advanced Modeling and Risk Analytics courses in the Predictive Business Analytics Program, where he received the 2015 Distinguished Teaching Award. He holds bachelor’s degrees in Astrophysics and Mathematics from Arizona State University and a master’s degree in Financial/Applied Mathematics from the University of Chicago.


Irene Tsapara

Email Irene Tsapara

Currently teaching:
Intro to Business Analytics

Irene Tsapara has worked in the financial industry for 5 years as a financial engineer, building financial algorithms for trading systems at Goldman Sachs/Hull Trading and Hedge Fund Research company. She has taught for over 20 years in universities across the US and Europe and speaks English and Greek fluently and she has a good knowledge of French and Spanish. Tsapara earned her PhD in mathematical computer science from University of Illinois with a focus in computational learning theory and universal algebra. She holds a masters in computer science from University of Illinois and a bachelors in mathematics from University of Patras.


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