Summary
Overview
Work History
Education
Skills
Publications
Timeline
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Scott Fincher

Scott Fincher

Iola,TX

Summary

Accomplished data scientist passionate about educating users on statistical and machine learning software, known for simplifying complex theories through practical application. Seeking a team where my technical, consulting, and customer-facing skills can be leveraged, while also expanding statistical expertise.

Overview

28
28
years of professional experience

Work History

Senior Data Scientist and Community Team Lead

KNIME
02.2018 - Current

Leading the Community Team in KNIME's Evangelism group, I like to say my job was to help people, regardless of their background, to use KNIME Software better. My team was responsible for:

  • Providing a virtual space for problem solving via the KNIME forum (forum.knime.com), and connecting users to support
  • Organizing awards programs to honor and recognize key community members, and build them into champions for KNIME Software
  • Monitoring feedback from users and relaying that to the product team in the form of bug reports and feature requests, to ensure the voice of the community was being heard
  • Coordinating events and meetups for our users to gather together

Apart from those tasks, I also had the opportunity to provide practical instruction and training through a variety of approaches:

  • Teaching KNIME courses, both on-site and virtual
  • Presenting at conferences (both KNIME Summit, and external practitioner and academic conferences)
  • Hosting webinars on trending data science topics and new KNIME Software features
  • Leading workshops to provide hands-on activities for both new and experienced data scientists
  • Recording educational and marketing videos to unpack analytics themes and features of interest in KNIME

Staff Scientist

Eastern Research Group
01.2003 - 02.2018
  • Conducted dozens of numerical modeling projects as primary team member
  • Managed projects up to $120K in size
  • Led company cloud computing efforts involving tens of thousands of model runs, hundreds simultaneously
  • Authored multiple studies published for US Dept. of Transportation and National Academy of Sciences
  • Performed testing and QA of EPA's MOVES model during its development, and contributed to numerous supporting studies
  • Developed and presented model training materials to clients

Meteorologist

URS Corporation
01.1998 - 01.2003
  • Led dozens of air dispersion modeling analyses for petrochemical, electrical generation, lumber, and US Military facilities
  • Performed deposition and dispersion modeling in support of indirect risk assessments
  • Processed and analyzed meteorological data

Education

MS - Statistics

Texas A&M University
College Station, TX
01.2017

BS - Meteorology

Texas A&M University
College Station, TX
01.1998

Skills

  • Training and Education: Teaching courses, workshops, webinars, hackathons, seminars, presentations
  • Data Analysis: Model development, deep learning, predictive modeling, machine learning, QA/QC
  • Natural Language Processing: Sentiment analysis, topic analysis, document/vector matrices, associated models and visualizations
  • Software expertise: KNIME, SAS (Base, STAT, Enterprise Miner), R, Perl, MySQL
  • Technical: Amazon Web Services cloud computing, Linux and Windows environments, Microsoft Office suite
  • Numerical Modeling: Atmospheric dispersion (AERMOD), mobile source emissions (MOVES, MOBILE, EMFAC), custom tool development

Publications

  • MOVES Input Data Evaluation and Sensitivity Analysis of Data Submitted for 2011 NEI, 2014, https://trid.trb.org/view/1288583, Sensitivity analysis of various inputs of interest for the MOVES model. Contributing author.
  • Input Guidelines for Motor Vehicle Emissions Simulator Model (NCHRP 25-38), 2014, https://apps.trb.org/cmsfeed/TRBNetProjectDisplay.asp?ProjectID=3191, Three separate volumes published for the Transportation Research Board (TRB) of the National Academy of Sciences. Guideline document for use of MOVES with real-world data. Contributing author.
  • Modifying Link-Level Emissions Modeling Procedures for Applications Within the MOVES Framework, 2010, https://www.fhwa.dot.gov/environment/air_quality/conformity/research/modeling_procedures/, How-to document on best practices for developing inputs to the MOVES model, with special emphasis on drive cycle development and its effects. Primary author.

Timeline

Senior Data Scientist and Community Team Lead

KNIME
02.2018 - Current

Staff Scientist

Eastern Research Group
01.2003 - 02.2018

Meteorologist

URS Corporation
01.1998 - 01.2003

BS - Meteorology

Texas A&M University

MS - Statistics

Texas A&M University