2015 Presentations

SAS conference video

 

Speaker Presentations

Name Title
Dr. Goutam Chakraborty Opening and Awards
Patrick Hall Keynote – Machine Learning in Real Life
Kavi Associates Analytics Talent- What We Look For
David C. Ogden Analytical Consulting War Stories
Anil Madappully Intro to Marketing Mix Modeling

Student Presentations

Name Title
Divya Dadi
Goutam Sriperumbuduru
Rahul Jhaver
Sachin Kumar Puppala
ABC Foundation Donor Propensity Analysis Avinash Avija
Ayush Priyadarshi
Using Text from Repair Tickets of a Truck Manufacturing Company to Predict Factors that Contribute to Truck Downtime
Kushal Kathed
Ayush Priyadarshi
Forecasting Vehicle Sharing Demand using SAS® Forecast Studio
Shubhi Choudhary
Vijay Singh
Application of Text Mining on Tweets to Analyze Information on Type-2 Diabetes
Vijay Singh
Pankush Kalgotra
Improving SAS® Global Forum Papers
Sharat Dwibhasi
Dheeraj Jami
Shivkant Lanka
Analyzing and Visualizing the Sentiments of Ebola Outbreak via Tweets
Sharat Dwibhasi
Saurabh Nandy
Peeyush Patel
Dipesh Sharma
OSU Foundation Donor Propensity Analysis
Heramb Joshi
Dhairya Modi
Shilpi Prasad
Aditya Sharma
Market Analysis of PQR Entertainment Company
Karthik Kondragunta
Huyen Nguyen
Vegard Oelstad
James Pham
OG&E Predict Net Promoter Score
Claudia Dozal
Nathan Greer
Cory Hinchey
Chris Linn
OG&E Net Promoter Score and “Green” Brand Analysis

Girish Shirodkar
Ankita Chaudhari
Improving the Performance of Two Stage Modeling by Using Association Node of SAS® Enterprise Miner™ 12.3
Sandeep Chittoor
Quyen Nguyen
Raja Punati
Sriharsha Ramineni
Vaishnav Vanamala
PQR Entertainment
Kirat Bhonsle
Prateek Gautam
Nathan Pezant
Sonal Mahajan
OSU Foundation Donor Propensity Analysis
Group 6
PQR Entertainment Marketing Analysis
Vojtech Hrdinka
Karush Jaggi
Soumil Mukherjee
Dung Phan
Prithvi Raj Sirolikar
The Curious Case of Casino Gaming
Rhupesh Damodaran Ganesh Kumar
Vignesh Dhanabal
Kiren Raj Mohan Jagan Mohan
Predicting the Net Promoter Score (NPS) for a leading Electric Utility Company in Oklahoma
Shrieraam Sathyanarayanan
Ravikrishna Vijaya Kumar
Josephine Akosa
Daniel Contrevas
Mbaye Diaw
Karan Rudra
Predicting Theoretical Loss
Balamurugan Mohan
Predicting Transformer Lifetime Using Survival Analysis and Modeling Risk Associated with Overloaded Transformers
Nikhil Kapoor
Ganesh Gangarajula
Predicting Re-Hospitalization of a Patient Using SAS® Enterprise Miner™
Gangarajula Ganesh
Seetharama Yogananda Domlur
Using SAS® Enterprise Miner™ to Predict the Number of Rings on Abalone Shells
Zabiulla Mohammed
Ganesh Gangarajula
Pradeep Kalakota
Working with PROC FEDSQL in SAS 9.4
Zabiulla Mohammed
Pradeep Reddy Kalakota
Naresh Abburi
Alien Nation: Text Analysis of UFO Sightings in the US using SAS® Enterprise Miner™ 13
Avinash Kalwani
Nishant Vyas
Using SAS® to Combine Regression and Time Series Analysis on U.S. Financial Data to Predict the Economic Downturn
Jasdeep Banga
Rajesh Bojja
Cherlinca Boyd
Xiaowei Hu
Minzhe Wu
ABC Foundation Donor Propensity Analysis
Lynn Xiang
Nicholas Kaukis
Peter Liang
Tina Shi
PQR Entertainment Marketing Analysis Lily Liu