2016 Presentations

Speaker Presentations

Name Title
Dr. Goutam Chakraborty  Opening and Awards
David Ahuja  Running Analytics as Business
Ray Boyle  Customer Centricity Driving Innovation Across Walmart
Fritz Lehman  Customers for Life
Eric Nyabiosi  Strategy Optimization—The Science and Art of Balancing Customer Satisfaction and ROI

Student Presentations

Name Title
John Harden, Swetha Nallamala, Antarlina Sen, Bhuvaneswari Yallabandi, Yonathan Zapata  2016 SAS Analytics Shootout: An Aging Population
John Harden  Lyric Complexity and Song Popularity: Analysis of Lyric Composition and Relation among Billboard Top 100 Songs
Josephine Akosa, Shannon Kelly  Application of Data Mining Techniques in Improving Breast Cancer Diagnosis
Ram Poudel, Lynn Xiang  Predicting if Mental Health Facilities will Offer Free Treatment to Patients Who Cannot Afford it
Praveen Kotekal  Predicting Response Time for the First Reply after the Question is Posted in SAS® Community Forum
Maitreya Kadiyala, Karan Rudra  Arrest Prediction and Analysis Based on Data Mining Approach
Soumil Mukherjee  Predicting the Influence of Demographics on Domestic Violence using SAS Enterprise Guide® 6.1
Jacky Arora, Juhi Bhargava, Swapneel Deshpande, Nachiket Kawitkar, Prashanth Reddy Musuku  2016 SAS Analytics Shootout: An Aging Population
Anirban Chakraborty  Using Analytics as a Part of Site Selection for Starting a New Business
Ameya Jadhavar, Prithvi Raj Sirolikar  Analysis of IMDb Reviews for Movies and Television Series Using SAS® Enterprise Miner™ and SAS® Sentiment Analysis Studio
SriHarsha Ramineni, Koteswararao Sriram  Frequency of Terrorist Attacks in United States and Predicting the Factors that Determine Success of Attacks using SAS Forecast Studio™ and SAS Enterprise Miner™
Surya Bhaskar Ayyalasomayajula, Thai Cao, Wei Gao, Kisor Kumar Varadarajan  2016 SAS Analytics Shootout: Increased Life Expectancy and Lesser Children. Its Effects.
Sharat Dwibhasi  Measuring Brand Sentiment using Emoticons
Saurabh Nandy  Comparative Study of Proc Export and ODS
Venkata Vennelakanti  Predicting Human Activity Sensor Data using an Auto Neural Model with Stepwise Logistic Regression Inputs
Heramb J. Joshi  Using SAS® Text Miner for Automatic Categorization of Blog Posts on a Social Networking Site Dedicated to Cyclists
Maialen Arrizabalaga, Vishwanath Kolar Bhaskara, Indra Kiran Chowdavarapu, Snigdha Gutha, Juana Rodriguez Ovalle  2016 SAS Analytics Shootout: An Aging Population
Vinoth Kumar Raja, Vignesh Dhanabal  Improving Performance of MBR Model using WOE Coded Categorical Variables
Divya Dadi, Rahul Jhaver  Effective Ways of Handling Various File Types and Importing Techniques using SAS®9.4
Mostakim Tanjil  Predicting Current Market Value of a Housing Unit across the Four Census Regions of the US
Quyen Nguyen  Predicting Forest Fire Occurrence and Incremental Fire Rate using SAS® 9.4 and SAS® Enterprise Miner™ 14.1
Akansha Gupta, Raja Rajeswari Veggalam  Survival Analysis of the Patients Diagnosed with Non-Small Cell Lung Cancer using SAS® Enterprise Miner™ 13.1
Pallabi Deb, Matt Fincher, Sid Grover, Anusha Mamillapalli, Mohit Singhi  2016 SAS Analytics Shootout: An Aging Population
Saurabh Nandy, Neha Singh  Text Analysis of Hotel Reviews