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jun01ee/README.md

Hi, I’m Juno 👋

I enjoy turning messy questions into structured problems, then building tools, models, or workflows to explore them.

My background spans scientific research, data engineering, statistical modelling, software development, and a growing interest in AI-assisted systems. I tend to be drawn to projects that involve complex data, uncertain assumptions, and the challenge of making technical work more reliable, reusable, and understandable.

This GitHub is a mix of data projects, research tools, experiments, and ideas I wanted to test for myself.

Outside of code, I’m interested in astronomy, running, energy, optimisation, and decision-making under uncertainty.

More at jun01ee.github.io.

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  1. solar-yield-forecasting-pipeline solar-yield-forecasting-pipeline Public

    Databricks MLOps pipeline for automated seven-day solar-yield forecasting using PySpark, XGBoost, MLflow and pvlib.

    Jupyter Notebook

  2. jun01ee.github.io jun01ee.github.io Public

    Data science and data engineering portfolio featuring projects in Python, SQL, Databricks, PySpark, machine learning and research software.

    JavaScript

  3. OpenEvolve OpenEvolve Public

    Agentic optimisation experiment evaluating LLM-generated code, convergence, failure modes and automated scoring.

    Python

  4. movie-dashboard movie-dashboard Public

    Python