Abid Ali
Abid Ali has worked in consulting and product companies over the years. 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. He specializes in data architecture design and implementation, data warehousing and business intelligence, and advanced analytics. He is a perpetual learner and has acquired multiple advanced degrees over the years and several certifications. He also teaches in the Master of Analytics program at University of Chicago and has taught at Columbia University in their Master of Applied analytics program. He delivers guest lectures in different universities and joins different panels on data topics. He believes in sharing knowledge and cares deeply about sustainability goals.
Atef Bader has been working in the IT industry for many years and currently is a member of the technical staff at Lucent Technologies. He is a recognized expert in object-oriented technology, automated software testing, concurrent software systems and software architecture. His technical papers have been presented at numerous conferences and published in technical journals. Bader holds a PhD in computer science from Illinois Institute of Technology.
Sema Barlas
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
Currently teaching:
Business Leadership and Communications
Data Science and Digital Transformation
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
Currently teaching:
Accounting and Finance for Technology Managers
Project Management
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
Currently teaching:
Research Design for Data Science
Data Science and Digital Transformation
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.
Dipyaman Sanyal
Currently teaching:
Accounting and Finance for Technology Managers
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.