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Eric Hare, Natural Language Processing (NLP) Developer in Chandler, AZ, United States
Eric Hare

Natural Language Processing (NLP) Developer in Chandler, AZ, United States

Member since July 5, 2017
Eric is the chief data scientist at the Omni Analytics Group. He has a Ph.D. in statistics and computer science from Iowa State University. Eric is the most proficient working in R, RStudio, and associated R packages, including Shiny, R Markdown, and ggplot2. He is very comfortable with Python and the associated data manipulation and deep learning packages.
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Portfolio

Experience

Location

Chandler, AZ, United States

Availability

Part-time

Preferred Environment

PyCharm, Python, RStudio, R

The most amazing...

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

Employment

  • NLP and Graph Database Developer

    2019 - PRESENT
    Belmont Technology Inc
    • Developed a Python microservices platform for easily deploying serverless functions in the cloud.
    • Tracked and fixed bugs using Jira as a reporting tool.
    • Managed team members in their tasks and priorities.
    Technologies: Python, Linux, Machine Learning, Computer Vision, MySQL, D3.js, Statistics, Predictive Modeling, Data Visualization, Data Analysis, Natural Language Processing (NLP), MacOS, Ggplot2

  • 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 that 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: Python, JavaScript, HTML, RStudio Shiny, RStudio, R, Machine Learning, Linux, Computer Vision, MySQL, D3.js, Statistics, Predictive Modeling, Data Visualization, Data Analysis, Natural Language Processing (NLP), Ggplot2, Markdown, Twitter API

  • 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 two bullets were fired from the same gun.
    • Created a framework to assess the diversity in peptide libraries.
    • Developed a package that simulates the manipulation of discrete random variables.
    • Maintained and created a framework for performing statistical tests using the lineup protocol.
    Technologies: iOS, Android, RStudio Shiny, RStudio, R, Statistics, Data Visualization, Data Analysis, Ggplot2

  • 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 software's core functionality.
    • Maintained a build system for the software being developed.
    • Presented new technologies at weekly meetings to the group.
    Technologies: RStudio, R, Data Analysis

Experience

  • Omni Analytics Group Shiny Laboratory
    https://labs.omnianalytics.org

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

  • Past Consulting Work
    https://omnianalytics.org/case-studies/

    A compilation of past consulting work I have taken part in at Omni Analytics Group can be seen at omnianalytics.org/case-studies. These range from simple exploratory data analysis projects to complex modeling and integration projects.

  • The intRo Statistical Software
    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
    https://github.com/erichare/bulletr

    My Ph.D. research was on algorithms for bullet matching. This involved creating 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 the Annals of Applied Statistics accepted our paper on this research.

Skills

  • Languages

    Markdown, Python, R, HTML, JavaScript

  • Frameworks

    RStudio Shiny

  • Libraries/APIs

    Ggplot2, Twitter API, D3.js, OpenCV

  • Platforms

    RStudio, MacOS, Linux, Android, iOS

  • Other

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

  • Storage

    MySQL

  • Tools

    PyCharm

Education

  • Doctor of Philosophy (Ph.D.) 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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