Andrew Fast

Chief Scientist at Elder Research, Inc.

Location
Charlottesville, Virginia Area
Industry
Research

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Andrew Fast's Overview

Current
Past
  • Graduate Research Assistant at Knowledge Discovery Laboratory, University of Massachusetts Amherst
Education
Connections

219 connections

Websites

Andrew Fast's Summary

I am a creator, communicator, and practitioner of advanced algorithms for understanding complex data sets. In particular, my work has focused on extending traditional data mining approaches to the areas of text, complex networks and causality. These algorithms are applicable across a wide range of application areas. Projects I have worked on span, among others, predicting the playoff success of NFL coaches (featured on ESPN.com!), modeling P2P networks, fraud detection and national security.

Specialties

Data mining, knowledge discovery, machine learning, predictive analytics, text analytics, complex network analysis, causality, fraud detection, national security

Andrew Fast's Experience

Chief Scientist

Elder Research, Inc.

Privately Held; 51-200 employees; Information Technology and Services industry

November 2012Present (1 year 11 months) Charlottesville, Virginia Area

Senior Scientist and Director of Research

Elder Research, Inc.

Privately Held; 51-200 employees; Information Technology and Services industry

February 2011November 2012 (1 year 10 months) Charlottesville, Virginia Area

Research Scientist

Elder Research, Inc.

Privately Held; 51-200 employees; Information Technology and Services industry

September 2009February 2011 (1 year 6 months) Charlottesville, Virginia Area

Research Scientist

Elder Research, Inc.

Privately Held; 51-200 employees; Information Technology and Services industry

September 2009February 2011 (1 year 6 months) Charlottesville, Virginia Area

Graduate Research Assistant

Knowledge Discovery Laboratory, University of Massachusetts Amherst

June 2002September 2009 (7 years 4 months)

Research focus on developing statistical tools for understanding complex network data including social networks, citation networks, and securities fraud.

Andrew Fast's Skills & Expertise

  1. Data Science
  2. Data Mining
  3. Text Mining
  4. Machine Learning
  5. Social Network Analysis
  6. Software Engineering
  7. Software Project Management
  8. Predictive Analytics

Andrew Fast's Publications

  • Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

    • Academic Press; Elsevier
    • January 25, 2012

    The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities.

Andrew Fast's Education

University of Massachusetts, Amherst

Ph.D., Computer Science

20012010

University of Massachusetts, Amherst

M.S., Computer Science

20012005

Bethel University

B.S., Computer Science

19972001

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