👨‍💻 About Me

I'm a Data Scientist with nearly two years of professional experience and a graduate of Turing College’s data science program.
Before moving into tech, I spent over a decade on the frontline of port logistics — from dockworker, to straddle carrier driver, to operating the world’s largest quay cranes.

Today, I combine deep operational knowledge with machine learning, analytics, and automation to solve real-world problems in heavy industry.

I'm also the co‑author of the df-squeezer package, a Python tool for optimizing dataframe memory usage.

My interests span computer vision, robotics, automation, and applied AI in safety‑critical or industrial environments.

🛠️ My Ever‑Expanding Toolbox

Python     |    Pandas     |    Numpy     |    Matplotlib     |    Seaborn     |    Scikit-Learn     |    XGBoost     |    Optuna     |    SHAP     |    FastAI     |    Docker     |    Google Cloud     |    SQL     |    Tableau     |    Looker Studio     |    HTML     |    JavaScript     |    Java     |    Kotlin     |    Android  

🚢 What I Do Today

As a Data Scientist at MPET Antwerp, I work on analytics, machine learning, and operational optimization in one of Europe’s largest container terminals.

My decade of hands‑on experience—from dockworker to crane operator—gives me a deep understanding of terminal workflows, allowing me to bridge the gap between on‑the‑ground operations and data‑driven solutions.

Here’s the view from my old “office”:

🌐 Let’s Connect

I'm always open to collaborating, learning, or discussing projects in data science, industrial optimization, robotics, or engineering.

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