Abid Ali is currently working in Capgemini as portfolio manager in the global insights and data practice supporting financial services group across banking and insurance. He has an undergraduate degree in computer sciences, a master's in business intelligence and data warehousing, another master's in information and knowledge strategy, an EMBA, and a Ph.D. in organizational leadership. He has various industry certifications such as Teradata certified master, SAFe agilist, Celonis sales professional, and Azure fundamentals. He has several years of international consulting experience leading, designing, and delivering large scale data and reporting solutions in the U.S., Great Britain, Europe, and Asia Pacific. He is experienced in various industries such as retail, insurance, finance, banking, telecom, and travel.  Ali specializes in data architecture design and implementation, data warehousing and business intelligence, and advanced analytics. His research interests include data analytics, organizational leadership, diversity and inclusion, and social and industrial/organizational psychology.  Ali delivers guest lectures in different universities and has also taught in Columbia University, NYC in their master's of applied analytics program.


Daniel Baumgartner

Daniel Baumgartner

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Currently teaching:
Project Management

Daniel Baumgartner is an independent management consultant with more than 30 years of business process management and information technology experience. He has held leadership roles in management and information technology consulting services, was a partner in several large management consulting firms and has expertise in improving business processes, developing IT strategies and plans, leading the implementation of IT solutions to address business issues and selecting and implementing enterprise-wide software applications. Baumgartner has managed client business analysts and functional managers. Baumgartner has a master’s degree from Northwestern’s Kellogg School of Management.


Candice Bradley is a quantitative social scientist with over two decades experience teaching statistics and research methods at the graduate level. Trained at UC Irvine’s interdisciplinary Social Relations program, Bradley followed her doctoral studies with a Fulbright Fellowship to Africa, engaging in fieldwork documenting the start of Kenya’s fertility decline. As a quantitative anthropologist, a rather rare specialization in a discipline not known for number crunching, Bradley has published research using multivariate analyses in such areas as demography, academic advancement of women, cross-cultural methodology, deep ecology, and time allocation. Bradley earned her PhD and masters from UC Irvine in social sciences.


Kimberly Chulis is cofounder and CEO of Core Analytics, LLC. With over 20 years of professional advanced analytics experience, Chulis demonstrated analytic expertise on projects at numerous companies and industries, including Microsoft, IBM, Dell, WellPoint, HCSC, UHG, Great West, Accenture, Ogilvy, MSN, Sprint/Nextel, Commonwealth Edison, TXU, Eloyalty, SPSS, General Motors, Allstate, Cendant, and others in the financial, telecommunications, healthcare, energy, nonprofit, retail, and educational sectors. Her current research focus is on Social Media Behavioral Applications, Big Data, Applied and Predictive Analytics. Her secondary focus is social media as a platform to drive positive public health, disease-related community support, early detection and intervention for healthcare outcomes. Chulis holds a PhD from Purdue University's Health and Human Sciences Consumer Behavior program, and a masters degree in economics with a focus on health economics and econometrics from the University of Illinois at Chicago. She is faculty in the MS Predictive Analytics program at Northwestern University since 2014, and served in the role of Director, Business Analytics Certificate Program at University of Chicago Graham School.


Kathryn Daugherty is a manager, revenue management and data science, at Universal Parks & Resorts. Her work includes modeling, visualization, pricing strategy, data governance and ad hoc analysis. Previously, she held several positions at Disney Parks & Resorts, where she worked in analytics, revenue management, pricing and finance roles. Daugherty has also held finance positions at Lockheed Martin, banking positions at JPMorgan Chase and US Bank. She received her MS in predictive analytics from Northwestern University, her MBA with specializations in finance and management from Rollins College and a BA in economics from the University of Colorado at Boulder. Daugherty holds a lean six sigma green belt certification, a six sigma green belt certification, and is a certified project management professional (PMP).


John Derwent is an experienced learning professional with an analytical bent and is currently adjunct faculty and program advisor for the Certificate in Predictive Business Analytics program and adjunct faculty with the Masters of Science in Predictive Analytics program at Northwestern University. After completing his graduate work, he moved into the world of corporate education and development practicing mainly in the software and technology industries. Most recently, Derwent led content and offering strategy for education services in the business analytics area with SPSS, Inc and IBM. His main professional goal is to help people understand how mathematics can improve businesses and the world. Derwent earned his PhD at Northwestern University in applied mathematics.


Qung Go

Qung Go

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Currently teaching:
Project Management

Qung Go has taught project management in the MS in Data Science Program since 2011. Previously Qung designed and developed the Project Management for Professionals course in the Professional Development Program and taught the course. Qung also previously taught the capstone course in the MS in Information Technology Program at Northwestern’s Robert R. McCormick School of Engineering and Applied Science and was a member of the Industry Advisory Board for the program. Prior to teaching, Qung worked as a senior executive for a large global information consulting company for more than 27 years. He managed a wide range of projects involving hundreds of personnel resources and implemented leading-edge projects for major telecommunications, cable, and high-tech clients. Qung is a certified project management professional PMP® and has an MBA from Northwestern’s Kellogg School of Management.


Ciju Nair is Global Marketing Science Lead at Kellogg Corp. and an adjunct faculty at Northwestern University in Chicago. He oversees cross functional teams on Business Drivers & Experience analytics and partners with Enterprise IT and integrated marketing. He also undertakes independent consulting projects on select topics of interest.  Prior to joining Kellogg Corp, Nair led the Marketing Effectiveness & ROI practice at Kantar Analytics and has a unique background that spans 20+ years in building empirical econometric models, marketing mix modeling, business effectiveness consulting and academic research. He has extensive experience in traditional and digital media and thinks of solutions that are holistic and adds strategic value to clients. He has hands on experience delivering actionable consumer insights to drive profits and a track record of reversing declining trends in both ecommerce and retail marketing environments.  Nair has also held leadership positions at Starcom MediaVest Group, Morningstar Inc. and Procter & Gamble. He has extensive experience integrating enterprise IT and advanced modeling solutions using onsite/offshore teams & vendors to deliver custom global analytic solutions for Fortune 50 advertisers across industry verticals.  Nair received a Ph. D in Marketing from the Olin Business School, Washington University in St. Louis. He also holds a MBA from the S.P. Jain Institute of Management & Research, Mumbai, and a graduate degree in Mechanical Engineering from the Coimbatore Institute of Technology.


Nethra Sambamoorthi is an adviser for CRMportals, a global analytics consulting company. In addition to delivering client solutions, he specializes in building best practices in data capture, designing innovative solutions and creating thought leadership in consumer dynamics and marketing intelligence. Sambamoorthi has produced many of the best practices in predictive modeling across multiple industries—credit cards, auto insurance, investment services, retail, CPG and pharmaceutical marketing. He previously was an entrepreneur, focusing on developing and delivering real-time email marketing systems and ROI trends. He has also worked with XLmarketing Corporation, Acxiom Corporation, Schering Plough Corporation, American Express and Prudential, using marketing analytics to address regulatory aspects while optimizing for return on investment and for consumer engagement. Sambamoorthi received a PhD from the University of Pittsburgh, specializing in applied multivariate statistics, and an MA in mathematics and an MSc in statistics from the University of Madras.


A CFA charter holder and ex-hedge fund quant, Dipyaman Sanyal is the founder of dono consulting, a boutique quantitative research and financial modeling firm. A Commonwealth scholar who is recognized as one of the top data science academicians in India (2017 and 2018, Analytics India Magazine), Deep has also led three of the top-ranked analytics programs in India. Along with teaching at Northwestern SPS, he is the Program Director for the Postgraduate Program in Data Science and Machine Learning (PGPDM) offered jointly by the University of Chicago, IBM and Jigsaw Academy in India.
Deep spent most of his corporate life in New York as a quantitative and financial analyst for companies like Dow Jones Indexes, The Blackstone Group, Sorin Capital, and Thomson Reuters. He has a MS in Applied Economics from University of Texas at Dallas and a MA and BA in Economics from Jadavpur University, Kolkata. He is a PhD candidate in one of India’s leading economics programs at Jawaharlal Nehru University.


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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