Liam Byrne

Data Scientist

https://talent.gravityer.com/liam-byrne

M.Sc. Computer Science (Augmented and Virtual Reality) 🚀. First-Class Honours Computer Science and Business B.Sc. Graduate 🎓.

Trinity College Dublin

Key Strengths

Demonstrated interest in Machine Learning and Data Science through multiple personal projects.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to various domains including computer vision, time series forecasting, and natural language processing (tweet censorship).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards academic and personal exploration in data science and related fields. The current role as 'Data Scientist' at Trinity College Dublin, although with a future start date, aligns directly with the target role. However, the lack of diverse professional experience outside of academic projects limits the assessment of broader cultural fit and collaboration in a corporate environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

antigravity-test

June 15, 2026 – Present

antigravity-test — GitHub repository

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Object-Stacks

April 4, 2025 – April 4, 2025

Object-Stacks — GitHub repository

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Liam-Noho-VW

February 12, 2024 – February 12, 2024

Liam-Noho-VW — GitHub repository

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Detecting-Strawberries-and-their-Ripeness-from-Images-using-Machine-Learning

December 8, 2023 – March 14, 2024

Computer Vision Module Assignment. Detecting the ripeness of strawberries using image detection.

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Graphics-Programming

November 6, 2023 – December 8, 2023

Graphics-Programming — GitHub repository

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Nuke-Semi-automated-binary-segmentation-with-3D-MRFs

September 30, 2023 – September 30, 2023

This repo solves foreground extraction (matting) using MAP estimation with Markov random fields in Nuke.

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Unity-VR-Gallery-for-AI-Art

September 6, 2023 – September 6, 2023

Unity VR application with OpenAI art generation. Group Software Engineering Module Project.

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VR-Knowledge-Graph-Tool

April 28, 2023 – May 4, 2023

VR-Knowledge-Graph-Tool — GitHub repository

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Predicting-Tweet-Censorship

November 22, 2022 – November 13, 2023

ML model that predicts the likelihood of a tweet being censored by a country.

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Machine-Learning-Techniques-for-Time-Series-Forecasting

January 30, 2020 – October 23, 2021

Machine-Learning-Techniques-for-Time-Series-Forecasting — GitHub repository

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through multiple personal projects.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to various domains including computer vision, time series forecasting, and natural language processing (tweet censorship).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

Liam Byrne

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit