Hi, I'm Eoin

I'm an ML Engineer & Data Scientist with over 4 years of experience
Reach out if you'd like to learn more!

Contact Me
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About

Me working on phase synchrony for MoveAhead
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    Data Scientist

    I'm a Data Scientist who designs Time Series Analysis models to translate complex data into actionable results

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    Machine Learning Engineer

    I have built numerous Time Series & Computer Vision models as part of my work & various projects

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    Frontend Developer

    I have designed & developed multiple dashboards for displaying the results of these models when applied to data in the wild

Experience

Python

Python

SQL

SQL

Java

Java

C#

C#

HTML

HTML

CSS

CSS

JavaScript

JavaScript

Git

Git

TensorFlow

TensorFlow

CUDA

CUDA

React

React

AWS

AWS

MongoDB

MongoDB

Figma

Figma

  • MoveAhead Logo

    Computer Vision Engineer, MoveAhead

    Jun, 2020 - Present

    • Designed and implemented testing framework for evaluating open source pose estimation models based on accuracy, efficiency & compatibility with on edge devices
    • Developed scalable and efficient data extraction and cleaning pipelines using Pythons SciPy and Pandas libraries to optimise processing workflow
    • Conducted exploratory data analysis to design and implement a proprietary biomechanical signal processing Python library adopted as a standard tool across the organization
    • Designed & built movement assessment pipelines that achieve over 95% accuracy when compared to gold standard human evaluation techniques & current Motion capture systems leveraging Pandas & Numpy
    • Created multiple object detection models tailored to hardware constraints ensuring optimal performance across different devices and systems
    • Led client meetings to gather requirements, discuss needs and collaborate on feature development to ensure alignment with business objectives
    • Built & maintained frontend applications using Android Studio, React & C#
    • Developed internal analytics & visualisation tools deployed on AWS using Matplotlib & Seaborn to provide actionable insights
    • Contributed to the design of a scalable backend database architecture combining Amazon S3 and MongoDB for optimised data storage and retrieval
    • Contributed to the development of LSTM model for accurate movement identification and classification
    • Helped raise the valuation of this 8 person company to +€10 million
  • Revenue Comission Logo

    ICT Executive Officer, Revenue Comission

    Apr, 2019 - Oct, 2019

    • Delivered proof of concept that the existing proprietary backend system could be refactored into a set of optimized SQL queries accessed via a Hadoop cluster
    • Created interactive dashboard using R’s ShinyDashboard library to effectively visualise and present query results for improved decision making
  • Ircona Logo

    SWE Intern, Ircona

    Mar, 2016 - Jul, 2016

    • Worked on component library
    • Verify contents of component database

Projects

Image of Basketball Player Tracking

Basketball Player Tracking

A CV model trained to track player movement to generate shooting percentages & efficiency metrics.

  • Python
  • Computer Vision
  • Machine Learning
Image of Clothes Style Recommender system

Clothes Style Recommender system

A CV model trained to recognise & classify clothes from websites that matches a user’s specific style.

  • webscraping
  • Computer Vision
  • Machine Learning
Image of Stock Analysis & prediction

Stock Analysis & prediction

A project which analyzes a stock's historical performance to predict its future price trends.

  • Python
  • Webscraping
  • React
  • Node
Image of PocketTrainer

PocketTrainer

Final Year project to assess human movement performance built alongside accompanying performance tracker app.

  • Computer Vision
  • Android Studio
  • Docker
Image of TikTok Generator

TikTok Generator

Scrapes popular subreddits & creates short form video content thats automatically uploaded to social media platforms.

  • Python
  • Webscraping
  • Selenium