Mar 15–18, 2020
Ananth Kalyan Chakravarthy Gundabattula

Ananth Kalyan Chakravarthy Gundabattula
Senior Architect, Commonwealth Bank of Australia

Ananth Kalyan Chakravarthy Gundabattula is a senior application architect on the decisioning and advanced analytics engineering team for the Commonwealth Bank of Australia (CBA). Previously, he was an architect at ThreatMetrix, a member of the core team that scaled Threatmetrix architecture to 100 million transactions per day—which runs at very low latencies using Cassandra, Zookeeper, and Kafka—and migrated the ThreatMetrix data warehouse into the next generation architecture based on Hadoop and Impala; he was at IBM software labs and IBM CIO labs, enabling some of the first IBM CIO projects onboarding HBase, Hadoop, and Mahout stack. Ananth is a committer for Apache Apex and is working for the next-generation architectures for CBA fraud platform and Advanced Analytics Omnia platform at CBA. Ananth has presented at a number of conferences including YOW! Data and the Dataworks summit conference in Australia. Ananth holds a PhD in computer science security. He’s interested in all things data, including low-latency distributed processing systems, machine learning, and data engineering domains. He holds three patents and has one application pending.

Sessions

1:45pm2:25pm Wednesday, March 18, 2020
Location: LL21 E
Ananth Kalyan Chakravarthy Gundabattula (Commonwealth Bank of Australia)
Feature engineering can make or break a machine learning model. The featuretools package and associated algorithm accelerate the way features are built. Ananth Kalyan Chakravarthy Gundabattula explains a Dask- and Prefect-based framework that addresses challenges and opportunities using this approach in terms of lineage, risk, ethics, and automated data pipelines for the enterprise. Read more.

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