Big Data Science Meetup Event

1:30 P.M. - 2:00 P.M. Networking

2:00 P.M. - 2:45 P.M. Session 1

Title: Big Data Healthcare Fraud: Dealing with difficult Variety by Mathematics (calculus, polynomial series etc) as-a-Query Tool

Speaker: Navin Kumar Sinha, Owner and Principal Scientist, Double Check Consulting

Abstract: Healthcare fraud is up to $800 Billion in 2013. Pharmacy fraud is $50 Billion for Medicare (2010) only. Drug overdose death is in 11th continuous year-over-year rise since 1999 (http://www.cdc.gov/media/releases/2013/p0220_drug_overdose_deaths.html ). Since 2009, more people are dying from drug overdose than car accidents (http://www.huffingtonpost.com/2013/08/30/drug-overdose-deaths_n_3843690.html ); likely from stolen drugs sold in black market. No wonder federal government/ CMS has collected All Payer (Insurance Company) data in USA and released this Big Data in 2013 to be converted into actionable knowledge by Data Entrepreneurs. But, the data is HIPPA compliant, which results into very few variables one can analyze. Machine Learning Algorithms (Decision tree, Neural Nets and Genetics algorithm) are difficult to apply to such a strong variety in Big Data; needs complementation. Hence Mathematics-(calculus, polynomial series etc)-as-a-Query Tool is invented to deal with such a Strong Variety in Big Data Healthcare Fraud. The hypothesis behind such a technology is that there exists needle in the haystack data sets with patterns waiting to be elucidated by analytically simplified and visually amplified methods. The presentation is in keeping all these in mind from 1% data from such a 50 Million CMS data on Excel prototype, programmable in R, SAS, and SQL etc.

Bio of Speaker: Navin Sinha has published 12 research papers, 8 as a first author by 2000. In early 90’s, he was very few scientists in USA to develop statistical methods on Paternity Testing at Tuskegee University. Since 2000 he has worked in Client based industries. In the process of becoming an expert, he is credited to save $20 Million from Healthcare fraud at UnitedHealth Group. Recognized as a statistical methodology researcher, his experience also includes several F100 companies such as Excel Energy, WIPRO, Verisk Health, Medsolutions, and Blue Shield of California etc. Now, as an Owner and Principal Scientist of Double Check Consulting, he has developed dataVISIONS and dataCONNECTIONS on Algorithm-as-a-service platform to understand and save money ($) from Fraud, Chronic Patient Treatment and ACO (Hospital Readmission) Analytics. Based upon his past experiences, the current endeavor into Mathematics-as-a-Query-Tool is undertaken to unburden the fraud investigators from endless workflow and teach diagnostic statistics as well. He holds a US Patent, and is award winning poet at Utah State University. Navin Sinha has MS in Agricultural Statistics from India, MS in Genomic (Statistical Genetics) from University of Illinois at Urbana-Champaign and MBA in Decision Making from Utah State University.

2:45 P.M. - 3:00 P.M. Q/A

3:00 P.M. - 3:45 P.M. Session 2

Title: Streaming Big Data Analytics with Standard SQL

Speaker: Ronnie Beggs, Vice President Marketing, SQLstream

Abstract: This talk will focus on:

• Standards-based architectures for streaming data analytics

• The business case for streaming as a platform for real-time operational intelligence

• The cost of performance for real-time Big Data technologies

• Streaming, Hadoop, RDBMS - The future of streaming as a mainstream technology

Bio of Speaker: With more than twenty years experience of product management, product marketing and business development in the real-time software business, Ronnie’s career spans a range of industries, from safety critical real-time software in the aerospace industry, real-time performance and data management in telecommunications, and real-time business intelligence and analytics. Ronnie has also worked for a number of successful start-ups, from early stages through to acquisition, including Metrica (acquired by ADC Telecommunications in 1996) and Cramer Systems (acquired by Amdocs in 2006).

3:45 P.M. - 4:00 P.M. Q/A

4:00 P.M. - 5:00 P.M. Networking

Coffee and Light Snacks will be available.