Selected Projects

Every project is different. Different data, different domains, different levels of complexity. What stays consistent is the approach: understanding the real-world problem first, and building solutions that actually make a difference. From business applications and operational environments to scientific research and high-complexity datasets, Pelagic Data Partner applies data science where it matters most: where decisions rely on clarity, reliability and insight. Look here at our selected projects!

Real-Time Monitoring Dashboard

Real-Time Monitoring Dashboard — Vulcano, Italy

Real-Time Monitoring Dashboard — Vulcano, Italy Monitoring teams required a clear, accessible and up-to-date overview of volcanic data from multiple real-time and historical sources, usable by both technical and non-technical staff. Approach A dashboard was developed to combine datasets from multiple monitoring sources into one structured, user-friendly interface, designed for clarity and ease of interpretation [...]

Predictive Volcanic Activity Modelling

Predictive Volcanic Activity Modelling — Stromboli, Italy

Predictive Volcanic Activity Modelling — Stromboli, Italy Stromboli is one of the world's most active volcanoes with near-continuous eruptive behaviour. The challenge was to identify patterns in monitoring data that could indicate changes in Predictive Volcanic Activity Modelling before they occur. Approach Using time-series analysis and machine learning, a predictive model was developed based on [...]

Predictive Modelling in Healthcare

Predictive Modelling in Healthcare

Predictive Modelling in Healthcare Healthcare organisations work with complex and sensitive datasets where early insight can significantly impact patient outcomes and organisational efficiency. Approach Predictive Modelling in Healthcare techniques were applied to medical data to identify patterns related to complications and outcomes. The work focused on combining technical accuracy with practical usability in a real [...]

Data Science in a Port & Logistics Environment

Data Science in a Port & Logistics Environment

Data Science in a Port & Logistics Environment Large-scale logistics environments generate vast amounts of operational data. Implementing Data Science in a Port & Logistics Environment is key to translating this into actionable insights for decision-makers. Approach Data science and machine learning techniques were applied to operational datasets within a port environment. The focus was [...]

AI Matching Algorithm

AI Matching Algorithm — Recruitment & Candidate

AI Matching Algorithm — Recruitment & Candidate Selection Organisations dealing with large volumes of candidate data and job descriptions struggle to consistently identify the strongest matches. Manual review is time-consuming and prone to inconsistency. Approach A machine learning-based matching algorithm was developed to analyse and compare CVs with job requirements. By identifying patterns in both [...]

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