Stephen Elston

Stephen F. Elston is managing director of Quantia Analytics, a data science consultancy, and a cofounder of FinAnalytica. He’s a big data geek, data scientist, instructor and O’Reilly author. He has more than two decades of experience in predictive analytics and machine learning with R, S/S-PLUS and Python. He’s developed, sold and supported multiple analytics solutions and previously led research and development for the S-PLUS companies. He creates solutions for financial market and credit risk, trading analytics, wireless telecom, and fraud prevention. He’s an Azure Advisor to Microsoft and holds a Ph.D. in geophysics from Princeton University.

Expertise includes:

• Large scale computing and big data architectures.
• Machine learning and predictive analytics model construction and evaluation.
• Data exploration and visualization.
• Scaling and performance tuning of large scale analytics systems.
• Real-time analytics, streaming analytics, and Complex Event Processing (CEP).
• Financial market data analytics, risk models, portfolio optimization, time series models.
• Electronic payment systems and fraud prevention.
• Wireless telecom analytics and fraud detection.
• Customer gift and loyalty systems.
• R and Python.
• SQL and NoSQL databases, Hadoop.
• Location-based analytics.
• Large scale optimization.
• Signal processing, image processing and machine vision.

Publications

Data Science in the Cloud with Microsoft Azure Machine Learning and Python by Stephen Elston June 2016 (est.) Ebook

Data Science in the Cloud with Microsoft Azure Machine Learning and R: 2015 Update Data Science in the Cloud with Microsoft Azure Machine Learning and R: 2015 Update by Stephen Elston October 2015 Ebook

Data Science in the Cloud with Microsoft Azure Machine Learning and R Data Science in the Cloud with Microsoft Azure Machine Learning and R by Stephen Elston February 2015 (est.) Ebook