Utku Pamuksuz

Utku Pamuksuz

Lecturer of Business Administration

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Contact

446 Wohlers Hall

1206 S. Sixth

Champaign, IL 61820

217-300-8148

pamuksu2@illinois.edu

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Educational Background

  • 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

Positions Held

  • Senior Data Scientist, Grainger, 2018-2019
  • Co-Founder & Chief Data Scientist, Inference Analytics, Inc., 2018 to present
  • Faculty of MSc Analytics, University of Chicago, 2018
  • 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
  • Research Assistant, Northwestern University, 2009-2012

Recent Publications

Other Publications

Conference Proceeding

  • Pamuksuz, U., Kim, S., & Subramanyam, R. Forthcoming. The Role of Electronic Word-of-Mouth on Stakeholders' Perceptions: Can Online Opinion Impact Managers' Futures? Americas Conference on Information Systems.
  • Pamuksuz, U., Schuchhardt, M., Scholbrock, B., Memik, G., Dinda, P., & Dick, R. Forthcoming. Understanding the Impact of Laptop Power Saving Options on User Satisfaction Using Physiological Sensors. ( pp. 291-296). International Symposium on Low Power Electronics and Design (ISLPED.
  • Yun, J., Pamuksuz, U., & Duff, B. (2017). Are we who we follow? Analyzing Human Personality and Brand Following on Twitter. 67th Annual Conference of International Communication Association (ICA.
  • Pamuksuz, U., Kim, S., & Subramanyam, R. (2016). Who is my audience? Investigating stakeholder collapse in online social platforms. ( vol. 258, pp. 78-82). 15th Workshop on e-Business, WeB 2016.
  • Pamuksuz, U. (2016). Analysis of Executive Reputation in Social Media Networks. International Conference of Information Systems.
  • Pamuksuz, U., Kim, S., & Subramanyam, R. (2014). Leveraging Social Networking Sites for Executive Success. Americas Conference on Information Systems.

Presentation

  • Pamuksuz, U., Kim, S., & Subramanyam, R. (2014). Leveraging Social Networking Sites for Executive Success. Americas Conference on Information Systems.

Working Paper

  • Pamuksuz, U., Yun, J., & Humphreys, A. (2018). A Brand New Look at You: Predicting Brand Personality in Social Media with Machine Learning.
  • Pamuksuz, U., & Kim, S. (2017). Understanding the Role of Online Impression Management in Executive Career Success.

Honors and Awards

  • Ranked as Excellent in Teaching, University of Illinois at Urbana Champaign, 2016,2017-2018
  • Big Data Hackathon winner two years in a row (2015-2016), State Farm, Bloomington-IL, 2015,2016

Teaching Interests

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

Research Interests

Dr. Utku Pamuksuz is an Information Systems researcher with expertise in data science, business analytics, applied mathematics, and machine learning. He taught at the School of Engineering at Northwestern University and has been teaching at the Gies College of Business, U of I Urbana-Champaign since 2016. He 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 with industry leader organizations during his academic studies including: State Farm, Goldman Sachs, McKinsey & Company, Deloitte, and KPMG. He provides machine learning consultancy at Gerson Lehrman Group for corporate executives. He has been awarded with the Big Data Hacking Competition Award in 2015 and 2016, and the UIUC Excellence in Teaching List in 2016. He also holds a M.Sc. in Computer Sci&Engineering from Northwestern University

Current Courses

  • Database Design and Management (ACCY 352)
  • E-Business Management (BADM 351) Designed to provide current perspective about enterprise IT-applications and the management issues that such applications entail. Emphasis is on current developments that will be explored with lectures, case studies, and hands-on applications. The course builds on BADM 350. May be repeated in subsequent terms.
  • 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.
  • Social Media Analytics (BADM 590) Special topics in the general area of business. Topics are selected by the instructor at the beginning of each term. Approved for letter and S/U grading. May be repeated if topics vary; unlimited credit hours for graduate and professional students.

Contact

446 Wohlers Hall

1206 S. Sixth

Champaign, IL 61820

217-300-8148

pamuksu2@illinois.edu

Homepage