Sushil Shah
Microsoft Cloud Solution Architect
London, United Kingdom
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Sushil is Cloud Solution Architect with Microsoft with specialisation in Data and AI. He specialise in Information Architecture and Data Governance having worked extensively in Financial Services and Life Science Industry.
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Topics
Information Architecture Practices for Modern Datawarehouse
Information Architecture practices brings the business stakeholders closer to the data and enables extraction of meaningful information from the data. Having good Information practices enables trust and governance over your data. This session aims to provide overview and practical tools and techniques to achieve this.
Storytelling : Skills Architects Require
How to make impact with your architecture sessions. Often the real impact of your solution is lost in technology details. In this session, learn to apply the storytelling techniques to better achieve the greater impact and acceptance for your solution.
Cloud Scale Straming Analytics with Databricks
As cloud technologies offer that ultimate flexibility of choosing and scaling Compute and Storage technology independently, Streaming data processing for real time analytics becomes simplified and achievable. In this session we would learn of implementing large scale data analytics thru DataBricks Delta and SQLDW.
Deep Dive with Azure SQL Datawarehouse
Azure SQL Datawarehouse presents great opportunity to leverage cloud scale analytics with familiar SQL Interface. But moving from Single Processor to Massively Parallel Processor (MPP) environment requires careful consideration for architecture and performance. This session aims to provide some detailed performance tuning examples thru real life customer scenarios.
Meetup: Applications of ML and Deep Learning in Financial Services
Topic: Using Anomaly Detection for Fraud Analytics
This talk demystifies the topic of Fraud Analytics and clarifies some of the fundamental choices that you have to make when constructing anomaly detection mechanisms. You'll learn why some approaches to anomaly detection work better than others in certain situations, and why a better solution for some challenges may be within reach after all. We will introduce Anomaly Detection in the context of Financial Fraud Analytics and what challenges can be addressed through these techniques. We will describe various Machine Learning / Deep Learning techniques for anomaly detection and will particularly emphasize Isolation Forests and Autoencoders.
Toastmasters
I am the member and former President of the Harrovian Speakers Club. The club is part of Toastmasters International who help and mentor members in developing their leadership and public speaking skills. I took part in various club and area level competitions in storytelling, motivational speeches and impromptu speaking.
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