Thomas K Abraham

Dr Thomas K Abraham is a data scientist/ solution architect supporting Microsoft’s Cloud customers in the U.S. South Central Region . He is a technical resource that helps customers achieve their business goals on the Microsoft Azure platform focusing on advanced analytics and A.I.

Thomas has been with Microsoft since January 2016 and during this period he has helped multiple organizations at various stages of the cloud journey. He has helped architect end-to-end solutions at a high level as well as detailed design for individual cloud components. He works hands-on in executing proof-of-concept projects to align with the customer’s needs. He has a deep understanding of relational databases, data warehousing, big data, business intelligence, NoSQL, visualization and analytics. He has expertise in advanced analytics including machine learning and deep learning tools. These include both open source platforms like Spark, R, Python as well as Microsoft-based tools like Azure ML and ML server.

Prior to Microsoft, Thomas spent over 10 years in various divisions of Ecolab (formerly Nalco/Nalco Champion). He started his career there working in R&D, designing algorithms for IoT devices (3D TRASAR) and anomaly detection. These solutions resulted in internal and customer-facing analytics at over 20,000 customers. After about 4 years in R&D, he moved on to the Oil & Gas division where he designed and built customer-facing analytics solution for multiple super majors. He worked on predictive analytics solutions built on R and Azure Machine Learning that combined multiple sources of data to predict critical failures in customer equipment. In this role he worked in both downstream and upstream projects focused on corrosion models, scale formation, biological growth in water, heat exchanger failure predictions, flow assurance and asset integrity. Prior to graduate school, he also spent brief stints as a plant process engineer and project manager.

Thomas received a Ph.D. in Chemical Engineering from The Ohio State University in 2005 and currently resides in the greater St Louis (MO) area. His Ph.D focused on using convex nonlinear optimization techniques to optimize product concentrations in complex chemical reactions.