Arun Krishnaswamy
Director of Data Science
Workday
location_on United States
Member since 3 years
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Arun Krishnaswamy
Specialises In
Over 20 years of experience with large datasets, statistical methods, machine learning and software systems.
* Manage mid and large-size engineering & data science teams working on BIG DATA infrastructure.
* Deep Learning expertise – AI Bots, NLP engines, Large Scale Anti-Phishing, Fraud Detection
* Domain Agnostic – Building AI Solutions for Advertising, Retail, Cybersecurity, Healthcare, Finance
* One of the 1st Hadoop Programmers in the World with 12+ years’ experience in BIG DATA systems.
* Worked extensively in Online Advertisement Space (including patented work)
- Sponsored search pricing, allocation, rich ad formats, data driven analytics.
- Display advertising: pricing, recommendation models, search retargeting.
- Media: Measurement, Channel Attribution, B2B2C Analytics, LTV, CDMP®
- Shopper Experience : Look alike , Propensity Models , Recommender Systems
* Hands on experience on data driven business process modeling, data analysis, statistical testing (A/B)
* Technical experience with some of the world’s largest data warehouses, generating business insights.
* Fluent in techniques from Mathematics and Statistics: Statistical modeling, Simulation Studies, Regression Analysis, Statistical Genetics, Bayesian Statistics, Data Mining, Predictive Modeling
* Fluent in programming for cloud computing (HADOOP, AWS, Tensor Flow, SPARKML, Google Cloud)
* Strong expertise in R, Python, Excel Macros, Tableau, Visual Basic and SQL.
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Federated Deep Learning in SAAS Applications
45 Mins
Demonstration
Executive
ML in Saas Applications becomes exceedingly difficult due to lack to access to customer data. The Customer Data is locked down with no outside access and it presents a huge problem to do ML on this data in a traditional way. The focus of this presentation is to provide alternate solutions to do ML in a distributed fashion.
We will focus on Split Neural Networks - a relatively new distributed ML Technique to solve Data Access issues with a SAAS Application.
We will walk through the motivations behind Split Neural Network approach to ML .
We will go through some concrete examples that are already using this technique.
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ROI in Data Science
45 Mins
Talk
Executive
Data Science , ML , AI have become buzz words and everyone is into it. Having spent all my career as a ROI Data Scientist - I would like to present my ideas around how to achieve ROI in Data Science.
Data Science can be tricky and he can fall into this Rabbit Hole without destination and the projects become super expensive without much returns - In this talk I will focus on the common pitfalls around Data Science Projects and how to navigate this without any dent to the investments we make towards a data driven world.
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