Gorkem Turgut (G.T.) Ozer Email & Phone Number

causalbook.com - Causal Book: Design Patterns in Causal InferenceThis is an accessible, interactive (work in progress) book with code for the data science / causal inference audience. Some chapters should also read well to the business audience.The book is not meant to substitute for the already great causal inference books out there. Our goal here is to complement what’s out there by using the idea of design patterns:(1) focus on solutions to problem patterns and their code implementations in R and Python,(2) discuss the implications of different approaches to the same problem solved by modeling the same data,(3) explain some of the surprising (or seemingly surprising) challenges in applying the causal design patterns.And why design patterns?Early in my career, I was a programmer using C# and then Java. Our most valuable resources back then were design patterns. I still have a copy of the book Head First Java Design Patterns: A Brain-Friendly Guide on my bookshelf from 20 years ago. It was a lifesaver when I moved from C# to Java. This is a tribute to those days.

Durham, Nh, Us

Research at the intersection of business, technology, and society involves the development and application of statistical and machine learning models to collect and analyze large-scale data for causal problem solving. Of particular interest are (1) the societal implications of digital multisided platforms and markets (also known as the sharing economy, peer-to-peer markets), and (2) how emerging information technologies and tools, such as big data analytics and artificial intelligence, impact creativity and decision making in organizations and society at large. Teaching the graduate courses “Predictive Analytics and Modeling,” “Big Data and Artificial Intelligence: Strategy and Analytics,” and “Managing Information Systems: Strategy, Software, and Data.”

City, State/Province, Oo

Advisory role in the following IT strategy, digital transformation, and data science projects:Developed peer-to-peer market growth and data strategy for the two-sided market WorkChew, 2017-2022Developed data and predictive modeling infrastructure for food manufacturing company Torku, 2012-2020Digitalization of ticket kiosks and ticketing process for 49 museums (in partnership with SKIDATA), 2011Data-driven user experience design for SunExpress Airlines (operated by Lufthansa & Turkish Airlines), 2010Digital and data infrastructure design for Ela Quality Resort and Öger Tours (acquired by Thomas Cook), 2008

College Park, Maryland, Us

Studied technology, strategy, and organization: developed statistical models and machine learning algorithms to analyze large-scale data and solve problems in and around digital platforms (peer-to-peer markets, sharing economy), data centricity, and digital transformation.Taught the courses:-Big Data and Artificial Intelligence: Strategy and Analytics (MBA, MSIS, MSBA)-Managing Information Systems: Strategy, Software, and Data (MIS)-Data Mining and Predictive Analytics (MBA, MSIS, MSBA)Selected topics:Data centricity as a framework for staying true to data; Apache Hadoop, Hive, Impala, Pig, and Spark; Convolutional & Recurrent neural networks; Selected statistical modeling topics listed in https://goo.gl/w4vGYG & https://goo.gl/JT8dZwSelected comments:"This was by far the best course I have taken in the MBA program. It was extremely challenging, but I am walking away with a considerable amount of knowledge!""It would not be a stretch to say that this is the best course I've taken at Smith: challenging, applicable, and interesting! I could tell that GT was passionate about the material and wanted to share it with us. I wish every course was this good.""This was the best course I have taken at UMD. Please offer more of these, featuring skills–based class labs and covering innovative business areas especially featuring IT programming components. GT is clearly an expert in his fields and was a fantastic, dedicated, engaged instructor.""The Professor was excellent and the course structure was fantastic. It was a bit overwhelming for anyone who didn't have any prior coding experience, but once the basic methods and intuitions were established, it became very worthwhile and interesting."

Austin, Tx, Us

Modeled problems and opportunities in business and society. Developed agent-based simulation models, and analyzed large-scale data using statistical models and machine learning algorithms to solve problems on value creation and co-creation in multisided platforms such as Ravelry/Etsy, LendingClub, Airbnb, Spotify, Steam.

Austin, Tx, Us

Student comments:"Every lecture is engaging and insightful. The structure of the class and your proactive communication really makes the class run smoothly.""I am truly learning very much about a topic I knew very little about before entering this class. In addition the way this class is taught focuses very much on critical thinking about the topics, and not just knowledge.""As a whole, i feel like you've explained the material thoroughly and well. If any questions have come up, I feel like they're felt by the class as a whole and you have done a nice job at answering them. Specifically with complex adaptive systems early on.""The structure of the class is is very well organized and genuinely makes me want to come to class. The use of real world examples to explain the more technical concepts really help me to understand complicated technological material that otherwise would be lost on me.""I truly believe in the way you do things, such as putting knowledge first. Not only do you put knowledge & learning first, you put students first, as well. I can feel & see your dedication for this course. Another thing is I like how you always try to improve yourself, the course, and us -your students. You are a great professor. You not only teach the material, but you help us learn the information. All in all, I am glad I am in your class."Topics covered:Robust adaptive strategies in complex business systems, Competitive advantage in the digital age, Multisided digital platforms, Network effects and switching costs, Digitalization and new competitive dynamics, Cloud computing, Data asset: Big data and business intelligence

Atlanta, Ga, Us

PhD-level strategy seminars and research on strategic management of technological change and digital innovation.

Managed the NSF-supported (#1262438) Atlanta Competitive Advantage Conference and Research Workshop.

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Research of technology and competitive landscapes, and analysis of technical resources/capabilities to design and manufacture a WiMAX modem/gateway GEEK -showcased at CES 2007 in Las Vegas.

Evaluated software and related products for potential product-market fit, developed an ecommerce site.

Doctor Of Philosophy (Phd), Information, Risk, And Operations Management

Master'S Degree, Management Information Systems

Phd Program Coursework, Strategic Management

Master Of Business Administration (M.B.A.), Mba

Bsc, Business/Commerce, General