SAS Analytics Day
Friday, May 1, 2015
Oklahoma State University
ConocoPhillips OSU Alumni Center
Program sponsored by SAS and the OSU Department of Marketing
Since 2004 OSU has partnered with SAS, a leading provider of business analytics software, to offer very successful data-mining and business analytics certificate programs. A primary goal of this conference is to link OSU’s data mining and business analytics certificate programs and students who are trained in analytics using SAS with members of the local and regional business community. SAS Analytics Day will introduce our certificate programs to businesses and allow students and businesses to grow their professional network.
Benefits of Attending This Conference
- Receive information about OSU’s data mining and analytics programs including online options
- View selected student poster presentations on analytics projects
- Brainstorm about collaborative projects between OSU students and local businesses
- Obtain a preview of SAS and JMP’s analytics software demonstrations
- Speak with representatives from SAS and JMP about how companies are leveraging SAS tools to create value
|Friday, May 1, 2015|
|8:00 A.M. – 8:30 A.M.||Registration at OSU-Stillwater, ConocoPhillips OSU Alumni Center
|8:30 A.M. – 8:45 A.M.||Welcome from OSU Spears School of Business
Dr. Ken Eastman, Dean, Norman and Suzanne Myers Chair, Richard W. Poole Professorship, Spears School of Business, Oklahoma State University
|8:45 A.M. – 9:00 A.M.||An Overview of Graduate Programs in Data Mining and Marketing Analytics
Dr. Goutam Chakraborty, Ralph A. and Peggy A. Brenneman Professor of Marketing, Director of Data Mining and Marketing Analytics Certificate Programs, Oklahoma State University
|9:00 A.M. – 9:45 A.M.||General Topics in Business Process Decision Science
Doug Shaver, Director of Customer Insight Analytics, FedEx, Memphis, Tennessee
|9:45 A.M. – 10:30 A.M.||Networking Break: Student Posters|
|10:30 A.M. – 11:30 A.M.||Machine Learning in Real Life
Keynote Speaker: Patrick Hall, Senior Machine Learning Scientist, SAS Institute, Cary, North Carolina
|11:30 A.M. – 11:45 A.M.||SAS and OSU certificate awards|
|11:45 A.M. – 12:45 P.M.||Lunch
|12:30 P.M. – 12:45 P.M.||Analytics Talent: What We Look For
Dr. Nalika Diyadawa, Leader of Finance and Talent Management, Kavi Global, Chicago, Illinois
|12:45 P.M. – 1:30 P.M.||Analytical Consulting War Stories: The Musts and Must-Nots of Analytical Consulting
David Ogden, Advisory Analytical Consultant, SAS Institute, Kansas City, Missouri
|1:30 P.M. – 2:00 P.M.||Networking Break: Student Posters|
|2:00 P.M. – 2:45 P.M.||
Short presentations on contemporary topics in analytics by OSU alums
Marketing Mix Models by Anil Madappully, Director, Nielsen Marketing Analytics, Chicago, Illinois
Digital Analytics by Amit Jai Kadam, Vice President of Advanced Analytics, Vivaki, Chicago, Illinois
Risk Analytics by Karan Gandhi, Principal Associate Analytics, Discover Financial Services, Dallas, Texas
What Does Capital One Look for in Hiring Analytically Trained Candidates by Abhishek Pathak, Senior Data Analyst, Capital One Bank, Philadelphia, Pennsylvania
|2:45 P.M. – 3:45 P.M.||
A View from the Trenches: What to Expect as an Analytics Professional: Panel Discussion with OSU Graduates
Moderator: Amit Jai Kadam, Vice President of Advanced Analytics, Vivaki
Prateek Khare, Data Scientist, Ford Motor Credit Company, Detroit, Michigan
Karthik Nakkeeran, Technical Consultant, SAS Institute, Pittsburg, Pennsylvania
Jay Omanson, Senior Consultant, Business Analytics, Kavi Global, Chicago, Illinois
Kunal Parekh, Senior Analytics Scientist, Verisk Health, San Francisco, California
|3:45 P.M. – 4:00 P.M.||Wrap-Up and Evaluation|
Dr.Goutam Chakraborty is a professor of marketing at Oklahoma State University and manages a very successful Data Mining Certificate Program in partnership with SAS (http://analytics.okstate.edu/). He has held managerial positions with a subsidiary of Union Carbide, USA, and with a subsidiary of British American Tobacco, UK. Dr. Chakraborty has presented numerous programs and workshops to executives, educators, and research professionals in the U.S., Europe, Asia, Australia and Middle East. He has published in many scholarly journals such as the Journal of Interactive Marketing, Journal of Advertising Research, Journal of Advertising, Journal of Business Research, and Industrial Marketing Management. He coauthored books Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS® and Contemporary Database Marketing: Concepts and Applications. He has chaired several national conferences including the Direct Marketing Educator’s Conference and the M2007 Data Mining Conference. He earned his B.Tech (Honors) in Mechanical Engineering from the Indian Institute of Technology, Kharagpur, PGCGM from the Indian Institute of Management, Calcutta, M.S. in Statistics and a Ph.D. in Marketing from the University of Iowa.
Patrick Hall is a senior machine learning scientist for SAS Institute. He designs new data mining and machine learning technologies for SAS. He is also a Cloudera certified data scientist and a certified SAS Enterprise Miner predictive modeler. Mr. Hall is the co-author of two recent patent applications regarding unsupervised learning. He studied computational chemistry at the University of Illinois before graduating from the Institute for Advanced Analytics at North Carolina State University.
Dr. Nalika Diyadawa is the leader of finance and talent management at Kavi Global. She has more than 10 years of industry experience and has been with Kavi since its inception. Dr. Diyadawa holds a doctoral degree in Adult and Higher Education from Northern Illinois University, an MBA in Finance from Pune University, Pune, India and a bachelor of commerce degree in Business Management from Punjab University, Chandigarh, India.
David Ogden is an advisory analytical consultant for SAS Institute. He has more than 25 years of experience in statistical analysis and predictive modeling. Mr. Ogden’s business experience has spanned operations & financial analysis, database marketing, acquisition & retention investment strategy with a specialization in Customer Lifetime Value methodology. Mr. Ogden has designed solutions in a diverse range of industries including retail (traditional and online), telecom, health sciences, oil & gas, non-profit, satellite television, and financial services. His analytical solutions assist customers with business challenges focusing on a variety of data mining and predictive modeling applications including early warning systems, strategic cost & revenue management, long-range economic modeling, process improvements, marketing optimization, scenario analysis, and demand forecasting.
Doug Shaver is the Director of Customer Insight Analytics at FedEx Services, which is the largest global customer analytics team serving the family of FedEx operating companies. Analytics range across customer segmentation and profiling, program and campaign analytics, targeting analytics, triggering process analytics, decision systems, lifecycle, enterprise contact analytics, real estate decision analytics and much more. He has been with FedEx for over 14 years. Prior to his role at FedEx, he worked in the engineering guidance, navigation, and control analytics field for 11 years. Doug holds an MBA from the University of Arizona, a M.S. in Aerospace Engineering from the University of Texas, and a B.S. in Aerospace Engineering from the University of Alabama.
Karan Gandhi is a project manager at Discover Financial Services. He has more than five years of experience in credit risk management, data-mining and predictive analytics. He previously worked with JP Morgan Chase as a Senior Strategy Analyst. Mr. Gandhi’s expertise includes strategy development, credit risk score models, and portfolio management. He joined Oklahoma State University’s Management Information Systems program in 2009 with a core emphasis on data-mining. He also holds a Bachelor’s degree in Computer Science Engineering from India and is a Certified Base Programmer for SAS 9 & Certified Predictive Modeler using SAS Enterprise Miner 6.1.
Amit Jai Kadam is the vice president of Advanced Analytics at Vivaki, which is an ad tech arm of media conglomerate Publicis Groupe. Prior to Vivaki, Amit Jai worked with Spark and SMG Performance Marketing. Amit Jai is actively involved in Chicago’s digital analytics chapter leadership. He also serves as an adjunct faculty for Oklahoma State University’s SAS Data mining program, where he teaches an online Digital Analytics course every fall. Amit Jai’s interests include yoga, tennis, Indian classical music, and studying global cultures.
Prateek Khare is a data scientist in the Global Analytics Team of Ford Motor Credit Company. He is involved in the phases of statistical model development, evaluation and deployment of credit scoring models. He is also developing analytical modules using Hadoop Ecosystem and High Performance Computing for analytical process improvement. Mr. Khare’s areas of focus are credit scoring, big data, HPC, visual analytics, and consulting. He is also an entrepreneur and is working for a startup, Plasma Bionics LLC, a medical, devices sterilization company. He previously worked with MedSolutions Inc. as an analyst. Mr. Khare has a B. Tech (Honors) in engineering from the National Institute of Technology (NIT) Raipur, and a M.S. in Management Information Systems from Oklahoma State University. He is a member of NIT Alumni Association, OSU Alumni Association and SAS Network.
Anil Madappully is director of consulting services in the marketing effectiveness group at Nielsen. His team is responsible for measuring the impact of marketing on sales for clients in the CPG vertical. Prior to Nielsen, Mr. Madappully worked at various firms building CRM solutions for clients in multiple verticals. He has a Masters in Industrial Engineering and Management from Oklahoma State University and a Bachelors in Production Engineering from University of Mumbai.
Karthik Nakkeeran is a technical consultant in US Professional Services Resource Management Organization for SAS Institute. He provides support and consulting services to SAS partner networks and small/ mid-Size business sales organizations. Mr. Nakkeeran’s primary emphasis is on solution development, implementation and project closeout at customer sites and also assisting sales teams with sales activities and ensuring the highest level of customer satisfaction are achieved. Mr. Nakkeeran graduated from the SAS OSU Data Mining program in the spring of 2012.
Jay Omanson is a senior consultant, business analytics for Kavi Global. He serves as a member of the strategic consulting team, which provides enterprise wide analytics strategy to leading corporations. Mr. Omanson’s expertise includes data management, data mining, statistics, forecasting, simulation, predictive modeling and optimization. He has experience in healthcare, transportation and the construction industry. Mr. Omanson holds an MBA from Oklahoma State University with an emphasis in Business Analytics and a bachelor’s degree in Construction Management from Brigham Young University, Rexburg, Idaho.
Kunal Parekh is the senior analytics scientist for Verisk Health. He has working in the data mining world for seven years and has substantial experience in the healthcare and financial services domain. Some of his projects include building statistical models, creating credit card models and performing cash flow calculations for portfolios, performing text mining on workers compensation data. Mr. Parekh has a master’s degree in MIS (Management of Information Systems) from Oklahoma State University and a bachelor’s degree in Electronic Engineering from Mumbai University.
Abhishek Pathak is a senior data analyst in marketing and analytics at Capital One Bank. He provides analytical support for the business to solve their strategy problems. His work encapsulates areas such as NPV analytics, Direct Bank portfolio monitoring and others. Mr. Pathak has previous experience in credit lending where he worked on building and deploying credit risk models, monitoring credit and marketing portfolio, and developing visual dashboards. He has a M.S. in Industrial Engineering and Management from Oklahoma State University and a bachelor’s degree in Production Engineering from the University of Mumbai.
To aid us in guarantee requirements for catering, please contact the OSU Center for Executive and Professional Development at 866.678.3933, if you need to cancel prior to the program. Also, please let us know if you have any special dietary needs.
Hotel rooms for SAS Analytics Day can be reserved at the Best Western Plus Cimarron Hotel & Suites (http://bestwesternoklahoma.com/hotels/best-western-plus-cimarron-hotel-and-suites) in Stillwater, OK at 405-372-2878. Reserve your hotel room by April 8th using the promo code SAS Analytics to receive the conference rate of $99 per night.
For more information
For more information, contact the Center for Executive and Professional Development
Toll Free 1-866-678-3933 | Phone 405-744-5208 | Email firstname.lastname@example.org