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

Statistics 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
  • R, 9 years
  • Predictive Modeling, 9 years
  • Machine Learning, 9 years
  • Natural Language Processing (NLP), 8 years
  • RStudio Shiny, 5 years
  • Python, 5 years

Location

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

    RStudio Shiny
  • Libraries/APIs

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

    RStudio, MacOS, Linux
  • Other

    Predictive Modeling, Data Visualization, Data Analysis, Natural Language Processing (NLP), Machine Learning, 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

To view more profiles

Join Toptal
I really like this profile
Share it with others