Tomasz Drabas is a Data Scientist working for Microsoft and currently residing in Seattle area. He has over 13 years of experience in data analytics and data science in numerous elds: advanced technology, airlines, telecommunications, nance and consulting he gained while working on three continents: Europe, Australia and North America. While in Australia, Tomasz has been working on his PhD in Operations Research with focus on choice modeling and revenue management applications in airline industry.
At Microsoft, Tomasz works with big data on a daily basis solving machine learning problems such as anomaly detection, churn prediction or pattern recognition using Spark.
Tomasz has also authored the Practical Data Analysis Cookbook published by Packt Publishing in 2016; you can purchase that book on Amazon, Packt and O'Reilly.
Denny Lee is a Principal Program Manager at Microsoft for the Azure DocumentDB team - Microsoft's blazing fast, planet-scale managed document store service. He is a hands-on distributed systems and data sciences engineer with more than 20 years of experience developing internet-scale infrastructure, data platforms, and predictive analytics systems for both on-premise and cloud environments.
He has extensive experience in building green field teams as well as turnaround / change catalyst. Prior to joining the Azure DocumentDB team, Denny worked as a Technology Evangelist at Databricks; he has been working with Apache Spark since 0.5. He was also the Senior Director of Data Sciences Engineering at Concur, and was on the incubation team that built Microsoft's Hadoop on Windows and Azure service (currently known as HDInsight). Denny also has a Masters of Biomedical Informatics from Oregon Health and Sciences University and has architected and implemented powerful data solutions for enterprise Healthcare customers for the last fifteen years.
Blogs: tomdrabas.com | dennyglee.com