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Eric Hare, R Developer in Marysville, WA, United States
Eric Hare

R Developer in Marysville, WA, United States

Member since June 7, 2017
Eric is the chief data scientist at Omni Analytics Group. He has also graduated with a PhD in statistics and computer science from Iowa State University. He is the most proficient working in R, RStudio, and associated R packages—including Shiny, R Markdown, and ggplot2.
Eric is now available for hire

Portfolio

Experience

  • Statistics, 10 years
  • Data Visualization, 9 years
  • Predictive Modeling, 9 years
  • Machine Learning, 9 years
  • R, 9 years
  • Natural Language Processing (NLP), 8 years
  • Python, 5 years
  • Shiny, 5 years
Marysville, WA, United States

Availability

Part-time

Preferred Environment

R, RStudio

The most amazing...

...project I've worked on is an automated algorithm for assessing whether 2 bullets were fired from the same gun—for use in the criminal justice system.

Employment

  • Chief Data Scientist

    2014 - PRESENT
    Omni Analytics Group
    • Created a set of interactive R Shiny web applications for our laboratory page.
    • Worked on numerous projects involving exploratory data analysis and statistical modeling.
    • Developed a Shiny training course which was taught at a data science conference in Melbourne, Australia.
    • Prototyped and performed a grid parameter search on stylized image transfers in Python.
    • Produced many statistical and analytical reports using R Markdown.
    Technologies: R, RStudio, Shiny, MySQL, HTML, JavaScript, Python
  • Research Assistant

    2015 - 2017
    Iowa State University
    • Developed an interactive web application for teaching introductory statistics classes.
    • Built a model to predict the probability that 2 bullets were fired from the same gun.
    • Created a framework to assess the diversity in peptide libraries.
    • Developed a package which simulates the manipulation of discrete random variables.
    • Maintained and created a framework for performing statistical tests using the lineup protocol.
    Technologies: R, RStudio, Shiny, Android, iOS
  • Quality Assurance Intern

    2010 - 2013
    TIBCO Software, Inc.
    • Developed an automated testing framework for R functions.
    • Deployed this testing framework into a web-based analysis tool.
    • Wrote unit tests to test the core functionality in the software.
    • Maintained a build system for the software being developed.
    • Presented new technologies at weekly meetings to the group.
    Technologies: R, RStudio

Experience

  • Omni Analytics Group Shiny Laboratory (Development)
    https://labs.omnianalytics.io

    As part of my work for Omni Analytics Group, I created a web portal with a suite of Shiny applications which were developed both by myself and my team. These applications prototype and highlight some of our capabilities as data scientists, and give a preview of how an analysis could look if deployed as a web application.

  • Past Consulting Work (Development)
    https://omnianalytics.io/case-studies

    Here is a compilation of past consulting work that I have taken part in at Omni Analytics Group. These range from simple exploratory data analysis projects, to complex modeling and integration projects.

  • The intRo Statistical Software (Development)
    https://github.com/gammarama/intRo

    A Shiny-based web application to complement an introductory statistics class. This application implements common statistical routines in an easy-to-use web application so that students are happy with their first exposure to statistics. The application is deployed and available at Intro-stats.com.

  • Algorithms for Matching Bullets (Development)
    https://github.com/erichare/bulletr

    My PhD research was on algorithms for bullet matching. This involved created an R package called bulletr which implements a set of statistical routines to automatically assess the probability that two bullets were fired from the same gun. We also deployed this as a web application, and our paper on this research was accepted by the Annals of Applied Statistics.

Skills

  • Languages

    Markdown, Python, R, HTML, JavaScript
  • Frameworks

    Shiny, Machine Learning
  • Libraries/APIs

    Ggplot2, Twitter API, D3.js, OpenCV
  • Platforms

    RStudio, MacOS, Linux
  • Other

    Predictive Modeling, Data Visualization, Data Analysis, Natural Language Processing (NLP), Statistics, Computer Vision
  • Storage

    MySQL

Education

  • Doctor of Philosophy (PhD) degree in Statistics and Computer Science
    2014 - 2017
    Iowa State University - Ames, IA, USA
  • Master's degree in Statistics
    2012 - 2014
    Iowa State University - Ames, IA, USA
  • Bachelor of Science degree in Computer Engineering
    2008 - 2012
    University of Washington - Seattle, WA, USA
  • Bachelor of Science degree in Statistics
    2008 - 2012
    University of Washington - Seattle, WA, USA
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