Data Science Symposium

Matt Brems: Managing Partner, Distinguished Faculty at General Assembly, Betavector,

"Good, Fast, Cheap: Doing Data Science with Missing Data"

Abstract: If you've never heard of the "good, fast, cheap" dilemma, it goes something like this: You can have something good and fast, but it won't be cheap. You can have something good and cheap, but it won't be fast. You can have something fast and cheap, but it won't be good. In short, you can pick two of the three but you can't have all three. If you've done a data science problem before, I can all but guarantee that you've run into missing data. How do we handle it? Well, we can avoid, ignore, or try to account for missing data. The problem is, none of these strategies are good, fast, *and* cheap. We'll walk through practical tips for working with missing data and recommendations for integrating it with your workflow that allow you to make better, more informed decisions when doing data science with missing data.

• Matt Brems is currently Managing Partner and Principal Data Scientist at BetaVector. His full-time professional data work spans finance, education, consumer-packaged goods, and politics and he earned General Assembly's 2019 "Distinguished Faculty Member of the Year" award. Matt earned his Master's degree in statistics from Ohio State. Matt is passionate about responsibly putting the power of machine learning into the hands of as many people as possible and mentoring folx in data and tech careers. Matt also volunteers with Statistics Without Borders.

Pavan Chundi: Senior Analyst, Cincinnati Children's Hospital

"Improving Patient Family Experience: A Machine Learning Approach"

Abstract:  Effective communication has always been a great intervention to improve patient family experience. Being able to accurately predict clinic visit length (including wait time) and making this part of the communication can improve overall experience. Explore this opportunity on how we make use of machine learning model to predict visit lengths by incorporating a range of variables like date, time, schedule, patient flow and others.

• Pavan K Chundi is a Senior Analyst at the James M Anderson Center for Health System Excellence, Cincinnati Children’s Hospital Medical Center. He graduated from University of Cincinnati with a Master’s degree in Business Analytics and holds a Master’s degree in Biomedical Engineering from University of Surrey, UK. His areas of specialization are Healthcare Analytics, Healthcare Outcomes and Improvement, Data Visualization and Business Intelligence. He has been instrumental in the development of the analytical framework and interactive dashboards that have helped clinical divisions to provide patient centered care. His expertise on time series modeling is evident from his recent publication in JAMA Pediatrics.

James Lee, PhD: Associate Vice Provost for Digital Scholarship and Associate Dean of Libraries,
Lindsay Nickels, PhD:  Program Coordinator, Digital Scholarship Center, University of Cincinnati

"Sentiment Analysis 2.0"

Abstract: In this talk, we will present our "Sentiment Analysis 2.0" project, which combines deep learning with linguistics expertise to define human behavior and meaning encoded in text of different forms - social media, articles, electronic health records - in n-dimensions determined by the language actually being used. We have developed our methods as a way to avoid assumptions or overly-narrow rules of positive or negative sentiment that we could be applied to the data. This approach allows the full complexity of the language data to be revealed.

• James Lee, PhD is the Associate Vice Provost for Digital Scholarship and Associate Dean of Libraries at the University of Cincinnati, where he also serves as the Director of the Digital Scholarship Center and is an Associate Professor of Digital Humanities. His research and teaching are in the areas of digital humanities, machine learning and text mining techniques on historical archives, social network analysis and data visualization. He works largely in early modern literature and culture. More recently, his research has branched out into fascinating collaborations applying digital humanities methods with partners in biomedical informatics, corpus linguistics, and law.
  He received his PhD at the University of California, Berkeley. His research has been supported by the Andrew W. Mellon Foundation and the National Endowment for the Humanities. He is a PI of the Catalyst Model for Transdisciplinary Teams in Digital Scholarship project, supported by the Andrew W. Mellon Foundation.
• Lindsay Nickels, PhD is the Program Coordinator for the Digital Scholarship Center at the University of Cincinnati and works with transdisciplinary research teams to develop and execute innovative methodologies on large unstructured text datasets. Her research is situated in critical discourse studies and corpus approaches to discourse analysis.

Dan Shah SEI, Senior Consultant,  Rob Dodd 84.51, Digital Customer Insights, Reid McCreary 84.51, Digital Customer Insights

"Understanding and Improving Kroger Customer Experience During COVID"

Abstract: To say COVID-19 impacted the way customers shop and the supply chains that deliver food to shelves is an understatement. Kroger Pickup and Home Delivery saw an unprecedented increase in demand which required improved data visibility and insight to customer behavior. Rob, Reid and Dan will talk about how 84.51’s Customer Insights and Kroger’s Digital Business Intelligence responded to this dynamic – specifically, through adopting a new approach to measuring causality and by modeling customer behavior to understand what’s important.

• Dan Shah is a Senior Consultant at Systems Evolution Consulting (SEI) where he helps companies convert data into insights. Before joining SEI, he worked at Procter & Gamble as a data scientist. He's an alum of UC’s MS Business Analytics Program.
• Rob Dodd partners with Kroger and 84.51° Product Management, Data Science, and Market Research teams to deliver actionable customer insights to improve Kroger’s digital customer experience and lower the cost to serve. He formerly was a data scientist with 84.51° and Asset Manager with Ergo Investment Partners. He earned a M.S. in Predictive Analytics from Northwestern University and a B.S. in Computer Information Systems and Operations Management from Indiana University.
• Reid McCreary is a consultant with 84.51°, with a focus on customer strategies and activations within Kroger’s ecommerce fulfillment space. Reid has 10 years of data analytics experience with 84.51° and dunnhumbyUSA. He earned a M.S. in Enterprise Integration and a B.S. in Management Information Systems, both from the University of Alabama.

Yangsu Chen: Amazon Web Services, Data Scientist

"Leveraging Forecasting Power of Classic Time Series Models and Deep Learning"

Abstract: Time series forecasting has always been an essential topic with many applications in the industry. Businesses can look backward to find trends and patterns in the historical data, but even more important is the ability to make accurate forecasts of business demands in the future. Combining historical patterns and future trends can provide a holistic story for business to make forward-looking strategies and actionable insights. In this talk, I will summarize several industry-standard time series forecasting techniques from classic models (e.g. Seasonal Naïve, ARIMA)), non-linear model (e.g. Prophet), to deep learning models (e.g. LSTM) and provide an overview of practical use cases.  

• Yangsu Chen is a data scientist at Amazon Web Services (AWS). Before joining AWS, he was a data scientist at Amazon.com and a national leading non-profit organization. His work ranges from building machine learning models, time series/deep learning forecasting, market segmentation, causal experimental design, and inferential statistics. He holds his PhD from University of Nevada Las Vegas and MS from Purdue University. Before joining Amazon, he served as an adjunct professor at the University of Nevada Las Vegas.

PANEL DISCUSSION

"Future Impacts of Data Science"

• Jason Pontin: Moderator
• Jude Schramm: Fifth Third Bank, Executive Vice President, Chief Information Officer
  
• Craig Brabec:  McDonald's, VP/Chief Data Analytics Officer.
  Bio: As McDonald’s Chief Data Officer, Craig is helping to define and infuse data across the global enterprise.  He is creating the roadmap to identify the team, technology, process and culture change required for enabling enterprise data transformation, establishing best-in-class data strategy and governance and evangelizing these changes throughout McDonald’s.
  Most recently, Craig was the Director, Global Data Insights & Analytics within Ford Motor Company.  In this role, Craig provided the executive office, product development, manufacturing, global supply chain, finance, human resources and business units with data insights to enable better decision making for the enterprise.  Craig has more than 25 years of experience working in corporate strategy and data analytics as well as manufacturing, construction, IT, supply chain and management consulting.   He has a proven track record of driving value creation, growth and business performance.  Prior to Ford, Craig was the first Senior Vice President, Data Analytics at McKesson Corporation, leading analytics for the Fortune 5 company worldwide.
• Carlos Amesquita: CEA Advisory, Founder & President, Former CIO, The Hershey Company
  Bio: Carlos' areas of expertise are IT and Shared Services Leadership and Strategy, Strategic Partnership Models, and Digital Transformation Strategies that weave Consumer Engagement and Marketing, with Supply Chain, Digital Commerce, and Retail Execution via a strong Analytics backbone. He is a business driven and results-oriented IT and Shared Services executive with extensive experience at the intersection of business and technology in Fortune 500 companies. . As Hershey's CIO, Carlos led one of the broadest digital programs in the industry, including a comprehensive organization transformation required to deliver and sustain its digitization plan. Before joining Hershey, Carlos spent 28 years at Procter & Gamble, in a broad and diverse set of roles across several countries. He was CIO and Shared Services Leader for North America in 2011, Global Household Care CIO in 2009, and Global Food & Beverage CIO in 2000. He was P&G Latin America CIO in the late 1990's. Carlos also led P&G's IT Innovation from 2005 to 2009.

Jaime Windeler: Associate Professor of Information Systems, Lindner College of Business

"Data Science Teams: Fundamentals and Future of Virtual Collaboration"

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Abstract: COVID-19 has pushed many data science teams to completely remote work. Some teams are getting a crash course in grappling with longstanding challenges of virtual teamwork: isolation, relationship management, and diffusion of responsibility. Other teams have been collaborating virtually for many years. These teams have figured out how to be productive and engaged but face new challenges now that everyone else is now virtual. To address this spectrum of virtual team experiences, I will share best practices and discuss the future of virtual teamwork.

• Jaime Windeler is an Associate Professor of Information Systems at the University of Cincinnati. Her research is published in premier IS journals and focuses on the management of distributed collaboration, as well as the attraction, motivation, and retention of IT professionals. She collaborates with several F500 companies on enhancing virtual team leadership and their IT workforce diversity and inclusion.
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Ryan Kaplan: Director Data and Analytics, Kamal Raad: Lead Data Engineer, Marketing Analytics,  Fifth Third Bank

"Data DevOps in the Financial Sector?"

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Abstract: Data DevOps in the Financial Sector - Is that even possible?  Join Ryan Kaplan and Kamal Raad as they walk through Fifth Third Bank's journey of Data DevOps in the Enterprise Data Office (EDO) to drive customer outcomes.

• Ryan Kaplan is a Director of Data & Analytics in the Enterprise Data Office (EDO) at Fifth Third Bank. He leads software engineers within the EDO, is responsible for delivering platforms like Kafka, and supports cloud data movement. Ryan is a proud UC alumni, having earned a Master’s degree of Science in Information Technology.
• Kamal Raad is a Lindner alum and Data Engineer at Fifth Third Bank in the Marketing Analytics space.  His agile team is focused on providing a 360 degree view of the bank's customers, as well as supporting Marketing campaigns and customer relationship outcomes. They collaborate with the Marketing, Sales, and Retail organizations of the bank.

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