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Achievement: Pull SharkAchievement: Quickdraw

Achievements

Achievement: Pull SharkAchievement: Quickdraw

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Eoghanmcc1000/README.md

Hi there 👋

I’m Eoghan McCarthy, a Python-focused software engineer and data scientist with a background in machine learning, backend development, and distributed systems. I hold a B.Eng. in Electronic & Computer Engineering and recently completed an M.Sc. in Computer Science – Data Science at Trinity College Dublin.

I have one year of professional experience as a Software Developer and previous data science internships, working across financial services and academic research.

🔭 What I’m working on

  • Putting forward my MSc dissertation for publication:
    Designed an end-to-end AI/ML pipeline synchronising 373k+ facial emotion recognition frames with 30M+ financial datapoints.
    This work investigated how non-verbal emotional cues from public communications influence short-term market volatility, combining emotion recognition (iMotions/Affectiva), high-frequency time series analysis, and Python-based statistical modelling.

🤖 Open Source Contribution

  • Terminal Bench – Currently contributing benchmark-hardening tasks for agentic coding evaluation, focusing on designing and validating more robust terminal-based tasks for AI agents.

🌱 Currently learning

  • Currently learning to build intelligent, secure AI-powered workflows—leveraging platforms like Jentic—for scalable, impactful solutions in modern engineering.

👯 Looking to collaborate on

  • Open-source projects in explainable AI and responsible machine learning, especially those with real-world applications in finance and health

📫 How to reach me

⚡ Fun fact

I’m currently exploring new opportunities while combining my passions for AI and real-world problem solving 🚀

Pinned Loading

  1. BayesianHierarchialModelling BayesianHierarchialModelling Public

    Exploring the Relationship Between Depression Rates and Voting Outcomes in the 2024 U.S. Election: A Bayesian Hierarchical Modelling Approach

    R

  2. aryansingh920/copulas-in-time-series-financial-modelling aryansingh920/copulas-in-time-series-financial-modelling Public

    Python 2 2

  3. Scalable-2024/bobb-protocol Scalable-2024/bobb-protocol Public

    Python 2

  4. Game-AI-Minimax-vs-Q-Learning-Connect-4-Tic-Tac-Toe- Game-AI-Minimax-vs-Q-Learning-Connect-4-Tic-Tac-Toe- Public

    This project implements classical search algorithms (Minimax with and without Alpha-Beta pruning) and Reinforcement Learning (Q-Learning) for two games: Connect 4 and Tic-Tac-Toe. The implementatio…

    Python

  5. NanoGPT-Architecture-Optimisation-Study NanoGPT-Architecture-Optimisation-Study Public

    Python

  6. Deep-Learning-for-Algorithmic-Music-Composition Deep-Learning-for-Algorithmic-Music-Composition Public

    A deep learning project focused on generating melodies with GPT-2 style transformer models, supported by different optimisation strategies. This project transforms MIDI music files into text sequen…

    Python