The DAMA Portland Chapter Board, in conjunction with our sponsors WhereScape, are proud to welcome back one of our most popular speakers, Dean Abbott of Abbott Analytics. For this year’s DAMA Day, Dean will focus on Data Science: Building and Deploying Predictive Models.

Sponsorship has allowed us to lower the price this year! This is an amazing value for your training budget, especially if you are looking for exposure to data science and how to apply predictive modeling to your business use-cases.  Follow @damapdx on Twitter and watch this event page for the latest updates.


Dean Abbott has over 21 years of experience applying advanced data mining, data preparation, and data visualization methods in real-world data intensive problems. In addition, Dean has developed and evaluated algorithms for use in commercial data mining and pattern recognition products, including polynomial networks, neural networks, radial basis functions, and clustering algorithms. Dean is a seasoned instructor, having taught a wide range of data mining tutorials and seminars. He is the instructor of well-regarded data mining courses, explaining concepts in language readily understood by a wide range of audiences, including analytics novices, data analysts, statisticians, and business professionals. Dean has also has taught both applied and hands-on data mining courses for a number of large software vendors.

Dean is planning to present four progressive sessions covering the building and deployment of predictive models. The sessions will include demos, and Dean prefers a largely interactive format allowing plenty of time for Q&A both during the sessions and at the end of the day.

Date:  October 18th, 2018
Venue: Standard Insurance Building – Main presentation room, Downtown Portland.


07:30            Registration, Breakfast, and Networking
08:45            Session 1 — Data Science Overview
10:00            Morning Break
10:30            Session 2  — Data Preparation for Data Science
12:00            Lunch
13:00            Session 3 — Building Predictive Models (Trees, Neural Networks)
14:30            Afternoon Break
15:00            Session 4 — Deploying Predictive Models and Demos
16:30            Feedback and QA Session (Presenter and Sponsors)

 Presented by @DAMAPDX and sponsored by Wherescape

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