Anomaly Detection Techniques and Implementation Using Apache Spark

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In this interactive meetup, Dr. Ravishankar Rao Vallabhajosyula, Senior Data Scientist at Impetus Technologies will be introducing and summarizing the vast field of Anomaly Detection and its applications in various industry problems. The session will also offer a structured approach to choose the right techniques based on specific use-case and data characteristics.

This will be followed by a demonstration of some real-world anomaly detection use-cases (e.g. network traffic data and financial transaction processing) as implemented on an Apache Spark based analytics platform.

Attendees will be able to learn :
1. Why use Apache Spark for anomaly detection use-cases.
2. A structured approach to choose the right techniques based on specific use-case and data characteristics.
3. Real-world use-cases such as in network traffic data and financial transactions as implemented on an Apache Spark based analytics platform.

Speaker Bio:

Ravishankar Rao Vallabhajosyula, Ph.D.
Senior Data Scientist, Impetus Technologies

Ravi is a Senior Data Scientist at Impetus Technologies. He leads the Impetus data science practice team in the US and works closely with clients, program managers and other IT teams to turn complex data into critical information and knowledge that can be used to make data-driven business decisions. Ravi plays an instrumental role in architecting end-to-end ML-driven products/solutions and getting them live into production. He also has extensive experience working with large sets of data to establish accurate and scalable analytics systems across varied applications. His areas of expertise relevant to anomaly detection include machine learning, natural language processing, data mining, artificial intelligence, graph analytics and big data technologies.

Agenda:
6:30-7:00 Networking and Refreshments
7:00-8:00 Impetus Presentation
8:00-8:15 Q&A
8:15-9:00 Microsoft Presentation

www.impetus.com