Discussion one: How ML enable Trusted customer Experience.

Speaker: Nitin Singhal
Profile: Nitin built the Global Data Engineering Team at PayPal launching multiple Marketing and Risk analytics solutions. Nitin’s team built the Enterprise Data warehouse for PayPal using Teradata and open source tech stack.

Nitin headed Merchant Data Product and launched the first set of developer APIs driving merchant insights for Issuer, acquirer and Merchants. Data Insights were built on Machine learning and data science-driven insights to enable fraud and chargeback mitigation solutions, these solutions were scanning and profiling 600M transactions every single data across 150M merchant records. Nitin’s team launched and supervised and unsupervised model to create a Merchant Knowledgebase.

Nitin had a stint at JPMC building cloud-based third-party Data hub and launched a machine learning data science layer to drive contextual insights for JPMC commercial clients.

Most recently, Nitin is heading Data Management organization at Twitter where his charter is to use Data science and Data Management process framework to safeguard Twitter’s data to drive trust for public expression.

Nitin is passionate about the power of data and loves to speak about Data stories

Topic two: Detail presentation on AWS cloud Security and Google Cloud Security. Learn about the criteria of requirements and elements of Cloud Security. Learn how to prepare an Assessment questionnaire.
You will walk away with over one hundred predefined Assessment questionnaire and the methodology to customize them and prepare more for your business needs.

Speaker: Amit Sarkar

Amit has extremely versatile engineering talents. He has over 20 years of experience in Aerospace engineering, Cloud architecture, DevOps, Program management, Product development, Project management & Software development. He has successfully set up a globally distributed diverse team from scratch.