Christos Michael Politis

Christos is a data scientist with a strong foundation in mathematics, AI and cloud technologies.

His professional portfolio includes advanced projects in predictive analytics, cloud systems and financial modelling. He has completed some ground-breaking work, including building a predictive health analytics system in to assess heart attack risk through data pre-processing, feature engineering, and model evaluation.

Among his other notable achievements, he designed a business intelligence solution for e-commerce optimisation, and a software mechanism for assessing trading risk and profitability.

He graduated from the University of Surrey with a First-Class MSc in Data Science, where his dissertation, "Multimodal Deep Learning for Pneumonia Detection," achieved 95.8 percent diagnostic accuracy by integrating transformer-based models (ViT and BERT) to analyse both chest X-rays and radiology reports. The project showcased his ability to merge complex vision and language models in clinically meaningful ways.

Christos also holds a BSc in Mathematics from the National Kapodistrian University of Athens, where he specialised in computational mathematics. His academic work included implementing a static hash index in C to optimise data storage and solving the three-colouring problem using Gröbner bases and the Buchberger algorithm, blending mathematical theory with practical computation.

Professionally, he served as Import and Logistics Coordinator at medical equipment specialists Oxygonotechniki SA, where he streamlined supplier communication, invoice management, and database systems, strengthening his operational and data management skills.

Earlier experience at Swissport and Express Publishing built his communication, teamwork, and precision under pressure.

Christos, who is fluent in English, Greek and French, combines analytical depth with creativity. A competitive tennis player, chess enthusiast and music producer proficient in Reaper and Ableton, he embodies the balance of structure and imagination that defines modern data science.