Charting New Insights, Navigating Data's Depths
Welcome, where by navigating the sea of data, I chart the course for smarter decisions.
With roots in archaeology and sails set in the maritime world, I develop and explore AI models, annotate data, and analyse patterns that reveal what lies beneath the surface, turning complex information into clear direction, whether you're navigating oceans or datasets. Currently focusing on maritime data analysis, GIS and machine learning through applied projects and ongoing professional training.
AI & Machine Learning
Transforming Data into Predictive Intelligence - data modeling, predictive workflows, anomaly detection
Data Annotation & Management
Turning Raw Data into Structured Insights - preparing high-quality datasets for AI/ML pipelines
Maritime Data Analysis
Unlocking the Power of Maritime Data - exploring operational, route, and sales datasets
Geospatial Analysis (GIS)
Mapping Maritime Data into Actionable Insights – analyzing vessel routes, port activity, and spatial patterns to support operational decision-making.
Cybersecurity & Risk Monitoring (Future Focus)
Protecting Maritime Data and Operations – planning for secure systems, anomaly detection, and operational risk monitoring.
HarborFlow – Maritime GIS & AI Analysis
HarborFlow is a geospatial and data analytics project aimed at exploring maritime traffic, vessel routes, port patterns, and environmental relationships through structured GIS mapping and Python-based workflows. This project lays the foundation for future application of predictive analytics within maritime operations.
Fuel & Engine Health Analyzer – Yacht Edition
Turning engine data into actionable insights
a demo project exploring fuel use, engine performance, and operational efficiency for motor yachts (18–40 m).
Motor yacht engines often face unexpected start issues caused by air-in-fuel, prolonged idle, or inefficient fuel use. These problems can lead to:
Fuel waste
Unplanned engine maintenance
Delayed departures
The demo version is available on GitHub. For access to the PRO version, please contact me via email at [email protected].
Yacht Data Insights – Case Study
This case study explores yacht sales, routes, and maintenance data to demonstrate data cleaning, exploratory analysis, and early predictive modeling workflows. It highlights the approach and methodology rather than final predictive outputs.
🤝 Collaborations
Bridging Knowledge for a Sustainable Maritime Future
I actively seek meaningful collaborations with individuals and teams at the intersection of maritime technology, GIS, data science, machine learning, and sustainability.
Whether you’re working with yacht telemetry, AIS signals, or maintenance logs, I can contribute through data cleaning, feature engineering, modeling, annotation, and operational analysis — always with a focus on eco-friendly and efficient maritime operations.
⚓ Current Focus Areas:
📡 AIS & Geospatial Tracking – analyzing routes, port patterns, and vessel behavior to reduce environmental impact.
⚙️ Predictive Maintenance – using yacht performance logs to forecast needs and reduce waste.
🌊 Route Optimization – integrating weather and port congestion data for fuel-efficient navigation.
🔒 Cybersecurity & Risk Awareness – planning secure maritime data systems and operational monitoring.
🌱 Sustainability – applying data-driven methods to foster greener maritime practices.
📊 Open-source & Research Collaboration – participating in Kaggle/GitHub projects focused on maritime innovation.
🚀 Let’s Build Together
Have a maritime data or AI idea? I’m always open to meaningful conversations that combine innovation, data, and a deep respect for the sea.
