Stephen F. Elston

About Stephen F. Elston

Stephen is a data scientist, machine learning engineer, and AI engineer with several decades of experience. He is an instructor and creator of machine learning, artificial intelligence, and data science courses for the Harvard Extension School, the University of Washington, edX, and custom courses. He provides data science and machine learning consulting to companies from global enterprises to startups. He is a company founder and served in several senior management and board positions. He takes analytics software products from concept and financing through on-shore and off-shore development, intellectual property protection, large client sales, customer shipment and support. Steve’s expertise includes:o Python, R SQL, NoSQL, Bash.o Git and Github.o Jupyter.o Keras and Tensorflow.o Machine learning and predictive analytics.o Deep Learning, reinforcement learning and AI engineering.o Data exploration and visualization.o Experimental design, A/B testing and multi-factor.o Customer churn and retention analysis.o Machine vision and signal processing.o Scaling and performance tuning of analytics systems. o Cloud architectures.o Real-time and streaming analytics. o Location-based analytics. o Financial market analytics, risk models, portfolio optimization, time series models, and tick level trade analysis.o Electronic payment systems and fraud prevention. O Customer gift and loyalty systems.

Experience

1. Instructor

   Harvard Extension School

   Sep 2016 — Present · Cambridge, MA, US

   Computer Science Courses: o Fundamentals of Data Scienceo Computer Visiono Data Miningo Probabilistic Programming and Artificial Intelligenceo Master’s degree capstone projects

Education

• The University of New Mexico

  Bachelor of Science (BS), Physics, Math

  1975 — 1980

• Princeton University

  Ph.D., MS, Geophysics

  1987 — 1991

Skills

• Distributed Systems
• Web Analytics
• Machine Learning
• Fx
• Financial Risk
• Electronic Payment Systems and Fraud Prevention
• Time Series Analysis
• Location-Based Analytics
• Market Risk
• Streaming Analytics with Complex Event Processing (Cep)
• Quantitative Analytics
• Quantitative Finance
• Interactive Data Analysis and Data Visualization
• Probabilistic Knowledge Based Systems
• Trading Systems
• Large Scale Optimization
• Fx Options
• Risk
• Options
• Column Oriented Databases
• Start-Ups
• Customer Gift and Loyalty Systems
• Equities
• Analytics
• Predictive Analytics
• R
• Electronic Trading
• Algorithms
• Risk Management
• Real-Time Analytics
• Fixed Income
• Portfolio Optimization
• Big Data
• Quant
• Image Processing and Machine Vision
• Databases
• Hadoop
• S-Plus
• Quantitative Investing
• Hedge Funds