Janine has over 20 years’ experience in a variety of analytic and data science roles. Her experience includes marketing analytics, visualization and dashboard development, non-linear modeling for loss prediction, graph theory for fraud detection, consulting analytics, and predictive modeling for product development.
Janine currently leads a data science team at Visa whose mission is to unleash the power of transaction data by applying AI/ML algorithms to derive predictive insights that will help Visa clients grow and improve their business. The role of this team almost requires the team members to be full stack data scientists, handling all aspects of product development from building the model to writing enterprise quality code for deployment.
The competencies required for this team to be successful are very different than the competencies required for other roles such as data visualization or consulting analytics. Drawing upon past experience and a variety of roles, Janine’s presentation will provide an overview of Data Science at Visa as well as walk you through how these different roles can influence your career.
Data Science at Visa; A Variety of Analytics Roles
While Analytics and Data Science careers seem ubiquitous, they are not. Companies use data in many different ways to move their business forward. This breadth of applications affords students many options when choosing a career path.
This presentation will provide an overview of the different ways in which Visa uses data to help Visa and their clients. We will focus on the different analytic roles at Visa that result from this diverse use of data. This will provide the audience with a good understanding of the types of roles they may expect at a financial services company.
After describing the roles we will look at the different aspects of these roles. Each role requires different skills and offers different career experiences. Understanding the opportunities and trade-offs among these roles is important for selecting a career path that matches your skills and personal interests.
Finally, we will conclude with tips on selecting that first job and insights on succeeding when you land it!
Matt Hall is a Data Scientist on the Data Science Delivery team within USAA Federal Savings Bank’s Fraud and Central Operations organization. Matt Hall leads a variety of machine learning efforts aimed at preventing fraudsters from accessing members’ accounts. Matt Hall was the head developer on FCO’s interdictive solutions based on machine learning models. In addition to his analytics roles, Matt Hall leads the internship program for the Data Science Delivery team.
Prior to USAA, Matt Hall worked as a Data Analyst in the Department of Student Life’s Assessment and Planning office.
Matt Hall is a two-time graduate of the University of Alabama, earning his M.S. in Applied Statistics and B.S. in Economics.
The Process of Integrating Machine Learning into Risk Based Authentication
A dataset that contains over 25 million records a day and a potential for over 1000 aggregates makes any machine learning effort challenge. Now add in supplemental data sources. Now add-in a target rate below 1%; now add-in incomplete information about your target. Now imagine developing this to be the first real-time, interdictive machine learning model in an environment that has high customer impact. The risk of analysis paralysis is present and dangerous.
These were the challenges faced when developing the Fraudulent Authentication Model. However, through a combination of adopting agile methodology and analytical decision making we were able to overcome the risks from these challenges. We were able to use segmentation to simultaneously reduce the challenges from the dataset size and the customer impact. We were able to take the incomplete nature of fraud targets and turn it into an asset in our machine learning journey. In the end we were able to turn our most complex project into our most successful machine learning model!
Jeremy TerBush is a leader in the analytics space with 20 years of experience building solutions and leading global teams in the hospitality, retail real estate, and education industries. He has led the development and execution of corporate strategy for analytics at multiple companies. He is equally comfortable in the board room and the scrum room. TerBush has led the creation of many teams throughout his career and has a proven track record of returning value on analytics investments.
TerBush started work in analytics while in graduate school at Purdue by helping to build the school’s first web-based homework system for Trigonometry courses. After graduation he joined RCI where he held many analytical roles. He then took on leadership of the enterprise analytics team at parent company Wyndham Exchange & Rentals, and expanded successful analytics efforts from RCI to many other brands. In 2019, TerBush joined Simon Property Group in a new enterprise role focused on driving value from data in the retail real estate giant where he developed and launched a corporate data strategy. In mid-2020 he founded TerBush Analytics LLC, an independent data and analytics consulting firm. Recently TerBush joined Travel + Leisure Co. (formerly Wyndham Destinations) leading the enterprise data and analytics organization.
TerBush has a master’s degree in Mathematics from Purdue University and an MBA from the Indiana University Kelley School of Business.
Culture Eats Analytics for Breakfast
As Peter Drucker famously pointed out culture’s appetite for strategy, it also has a taste for analytics initiatives. TerBush will discuss his experience implementing analytical solutions, some successful and some not, across multiple industries and share lessons learned about influencing culture to drive value with analytics.
Dot Green is a manager of predictive analytics on the Operations Decision Science (ODS) team at Delta Air Lines. She joined the team in 2018 after completing a Master of Science in Analytics at Georgia Tech, concentrating in Business Analytics. Dot also holds a Bachelor of Science in Business Administration, concentrating in IT Management from Georgia Tech. The ODS team provides decision support across all major operational divisions using advanced analytics including machine learning and optimization. Since joining the team in 2018, Dot has led projects spanning data engineering, product development, simulation, and predictive analytics. Dot grew up and currently resides in Atlanta, GA.
Coming Soon!
Dr. Ilyas Iyoob is chief data scientist and distinguished engineer at IBM. He pioneered the seamless interaction between machine learning and operations research in the fields of autonomous computing, space tech, and blockchain. As a successful entrepreneur at Gravitant, a start-up focused on optimizing the cloud journey, he helped build and sell the company to IBM in 2016. Dr. Iyoob currently advises over a dozen venture funded companies and serves on the faculty of the Cockrell School of Engineering at the University of Texas at Austin. He has earned a number of patents and industry recognition for cloud intelligence and was awarded the prestigious World Mechanics prize by the University of London in 2001. He holds bachelor’s and master’s degrees in industrial engineering from the University of Arkansas and a Ph.D. in operations research from the University of Texas at Austin.
Prior to 2016, IBM was in the Quantum Science phase creating the fundamental theory and the physical building blocks of quantum computing. Since 2016, we have been the Quantum Ready phase engaging the world to prepare for the quantum computing era. Now in 2021 we are at the cusp of the next Quantum Advantage phase showing a commercial advantage by solving real world problems with quantum computers. IBM is the leader by far in this space with 300,000 users running over 1.4B quantum circuits per day using the 34 quantum computers deployed up to date.
In this session, we will first describe some generic applications of quantum computing in areas such as cryptography, drug discovery, 3d imaging, etc. Thereafter, we will focus on artificial intelligence (AI) applications of quantum computing which make up more than 90% of the industry today
Dr. Gregory J. Bott holds the Marillyn Hewson Chair Professor of Cybersecurity in the ISM Department at the University of Alabama and is a Cyber Nexus Distinguished Fellow. Dr. Bott serves as Director of the UA Cybersecurity Clinic, Co-Director of the UA Cyber Security Summer Camp, and Assistant Director of the Institute of Data Analytics (Cybersecurity initiative). His research focuses on cybersecurity, cybercrime (sex trafficking), and information privacy. He has published in Productions and Operations Management, the Journal for Management Information Systems, the Journal of Interactive Marketing, the INFORMS Journal of Applied Analytics, Computers and Security, and Communications of the AIS and several academic conferences. His research on sex trafficking has been directly applied by the West Alabama Human Trafficking task force, Homeland Security, Birmingham PD, Tuscaloosa PD, and the East Alabama Human Trafficking Task Force to help locate victims of sex trafficking and capture sex offenders who target minors. Dr. Bott is a certified digital forensic examiner, holds the Certified Information Systems Security Professional certification, and serves as an expert witness in civil and criminal cases. Previously, Bott worked in technology for PwC, Microsoft Corporation, and served as chief technology officer for three organizations.
Collaborating with Local and Federal Law Enforcement for Disrupting Sex Trafficking Networks
Human trafficking refers to the transportation, harboring, or obtaining of persons through force, fraud, and coercion for the purpose of exploitation. Every year, millions of individuals spanning all ages, races, genders, and nationalities are victims of human trafficking across the globe. Sex trafficking, a form of human trafficking that involves sexual exploitation, has been facilitated through the use of online classified advertisements. Our team has been collaborating with law enforcement agencies at the local, state, and national levels since May 2019 to detect and disrupt sex trafficking activities identified by applying advanced analytics to ad data collected from the internet. Using the developed tool, our team has assisted several operations, which have led to more than forty arrests in Tuscaloosa, AL, since February 2021. The research team continues to work with law enforcement partners in Tuscaloosa, AL, Birmingham, AL, and Long Island, NY.
Dr. Nickolas K. Freeman is an Associate Professor of Operations Management in the ISM Department. Dr. Freeman serves as an Assistant Director of the Institute of Data and Analytics at UA. In this role, Dr. Freeman serves as a director of the STANDD initiative that focuses on the development of advanced analytics techniques for combatting sex trafficking. Dr. Freeman also serves as a co-coordinator of the University of Alabama’s Master of Science in Business Analytics and is an Associate Editor of INFORMS Journal on Applied Analytics. He has published articles on a wide range of topics in top Operations Management Journals including Production and Operations Management, Manufacturing & Service Operations Management, INFORMS Journal on Applied Analytics, Omega, the European Journal on Operational Research, the International Journal of Production Research, and the International Journal of Production Economics.
Collaborating with Local and Federal Law Enforcement for Disrupting Sex Trafficking Networks
Human trafficking refers to the transportation, harboring, or obtaining of persons through force, fraud, and coercion for the purpose of exploitation. Every year, millions of individuals spanning all ages, races, genders, and nationalities are victims of human trafficking across the globe. Sex trafficking, a form of human trafficking that involves sexual exploitation, has been facilitated through the use of online classified advertisements. Our team has been collaborating with law enforcement agencies at the local, state, and national levels since May 2019 to detect and disrupt sex trafficking activities identified by applying advanced analytics to ad data collected from the internet. Using the developed tool, our team has assisted several operations, which have led to more than forty arrests in Tuscaloosa, AL, since February 2021. The research team continues to work with law enforcement partners in Tuscaloosa, AL, Birmingham, AL, and Long Island, NY.
Dr. Burcu B. Keskin is a professor of Operations Management (OM) and the associate department head for the Department of Information Systems, Statistics, and Management Science at The University of Alabama. She earned her Ph.D. in industrial Engineering from Texas A&M University. She has conducted research in different areas of supply chain management including inventory theory, facility location, network design, and vehicle routing. She has obtained funding for her research through government agencies grants and several companies. Her papers have been selected as finalists of the Daniel H. Wagner Prize for Operations Research Excellence in Practice three times (2009; 2014; 2021). Dr. Keskin serves as area editor for the Supply Chain Management area of OMEGA: The International Journal of Management Science. She also serves on the editorial boards of International Journal of Production Economics, Computers and Operations Research, and INFORMS Journal of Applied Analytics. She is also an ad-hoc reviewer for numerous journals. She is the recipient of the 2014 Culverhouse Board of Visitors Teaching Award
Collaborating with Local and Federal Law Enforcement for Disrupting Sex Trafficking Networks
Human trafficking refers to the transportation, harboring, or obtaining of persons through force, fraud, and coercion for the purpose of exploitation. Every year, millions of individuals spanning all ages, races, genders, and nationalities are victims of human trafficking across the globe. Sex trafficking, a form of human trafficking that involves sexual exploitation, has been facilitated through the use of online classified advertisements. Our team has been collaborating with law enforcement agencies at the local, state, and national levels since May 2019 to detect and disrupt sex trafficking activities identified by applying advanced analytics to ad data collected from the internet. Using the developed tool, our team has assisted several operations, which have led to more than forty arrests in Tuscaloosa, AL, since February 2021. The research team continues to work with law enforcement partners in Tuscaloosa, AL, Birmingham, AL, and Long Island, NY.