Utku Pamuksuz

• Ph.D., Information Systems, University of Illinois at Urbana-Champaign, 2017
• M.S. Engineering, Computer Science, Thesis Title: Leveraging Human Physiological Traits while Using Biometric Sensors, Northwestern University, 2011
• B.S. Industrial Engineering, Summa Cum Laude, Turkish Naval Academy, 2006

• Senior Data Scientist, Grainger, 2018-2019
• Clinical Faculty, Physical Sciences Department, University of Chicago, 2018 to present
• Co-Founder & Chief Data Scientist, Inference Analytics, Inc., 2018 to present
• AI/Machine Learning Consultant, GLG (Gerson Lehrman Group), 2017-2018
• Lecturer of Business Administration, Business Administration, University of Illinois, 2017 to present
• Specialized Faculty of Data Analytics, Gies College of Business University of Illinois at U-C, 2017 to present
• Data Science Researcher, State Farm Mutual Co., 2015-2018
• Doctoral Researcher, Gies College of Business, UIUC, 2013-2017
• R&D Project Manager, Turkish Navy, 2011-2013
• Research Assistant, Northwestern University, 2009-2012
• Electronics & IT Naval Officer, Turkish Navy, 2006-2009

• Pamuksuz, U., Yun, J., & Humphreys, A. (2021). A Brand New Look at You: Predicting Brand Personality in Social Media with Machine Learning. Journal of Interactive Marketing, Elsevier, 56 (November 2021), 55-69.  link >
• Pamuksuz, U. (2021). Customized Impression Prediction from Radiology Reports Using BERT and LSTMs. IEEE Transactions on Engineering Management, IEEE Transactions on Artificial Intelligence.  link >
• Yun, J., Pamuksuz, U., & Duff, B. (2019). Are We Who We Follow? Computationally Analyzing Human Personality and Brand Following on Twitter. Journal of Advertising, Taylor and Francis, 38 (5), 776-795.  link >

Big Database Systems, Predictive Analytics, Data Science, Machine Learning, Social Media Analytics and Business Analytics

Dr. Utku Pamuksuz is an Information Systems & Analytics Professor with expertise in data science, business analytics, applied mathematics, and machine learning. He has been faculty at the Gies College of Business, U of I Urbana-Champaign since 2017. He also teaches advance analytics at the University of Chicago. Utku has been an invited speaker in academic and professional seminars in Europe, Asia, and the U.S.A. in the areas of Management, Finance, Strategy, and Quantitative Marketing. Dr. Pamuksuz has also built and maintained strong relationships/consultancy with industry leader organizations during his academic studies including: State Farm, Goldman Sachs, McKinsey & Company, Deloitte, and KPMG. He has been awarded with the Big Data Hacking Competition Award in 2015 and 2016, and the UIUC Excellence in Teaching List in 2016-2021. He also holds a M.Sc. in Computer Science from Northwestern University and PhD from UIUC.

• Social Media Strategy (BADM 351) Business managers of today must be equipped to deal with the new reality of a highly connected society. In this course, students will learn foundational concepts of Social Media and their applications for generating value for their customers, the society, and the business itself. The course aims to develop analytical skills and understanding of the opportunities and challenges that social media, global collaboration and new ways of engaging customers pose for the firm. An emphasis will be placed on managerial decision making in the context of the social media phenomenon.

• Database Design and Management (BADM 352) Introduce the modern concepts, techniques and management practices when dealing with data and use of data in organizations. Topics include data modeling, database logical and physical designs, implementation, database administration and web-based database environment. Students will be involved in constructing a database and researching an advanced topic to solidify the learning.

• Big Data Infrastructure (BADM 395) Special topics of interest to students majoring in Business Administration.

• Data Science and Analytics (BADM 576) In this course, you will learn not only data analytic techniques but also the managerial implications of competing with analytics. You will understand the managerial challenges of using data analytics to develop a strategic advantage through readings and case studies. You will learn techniques such as statistical inference, linear modeling, sentiment analytics, and data mining through hands-on exercises in R. R is an open source language that has grown in importance and usage in corporations. Finally, you will be able to present and interpret data through an understanding of data visualization techniques.

• Big Data infrastructure (BADM 590) Special topics in the general area of business. Topics are selected by the instructor at the beginning of each term.

• Big Data Infrastructure (BADM 590) Special topics in the general area of business. Topics are selected by the instructor at the beginning of each term.

• Big Data Infrastructures (BADM 590) Special topics in the general area of business. Topics are selected by the instructor at the beginning of each term.