Data Engineer & Analyst with a passion for turning complex data into actionable intelligence. Building optimized pipelines, dashboards, and ML models that move the needle.
An interactive traffic and mobility control-room dashboard for Berlin, demonstrating data engineering and visualisation skills. Features four analytical views — Overview, Public Transit, Road Network, and Analytics — with live weather data pulled from the Open-Meteo API. Traffic and transit data uses realistic Berlin peak-hour simulation profiles.
Trained a YOLOv5 object detection model on 113,888 annotated traffic light images to detect and classify traffic conditions in Ghana. Paired with a Bee Colony Optimization algorithm to dynamically optimize signal phasing, reducing average vehicle wait times in simulation by 32%.
How can ML and AI be applied not just to understand trade and logistics systems — but to actively optimize them, removing friction, predicting failure, and making supply chains smarter in real time?
My research sits at the intersection of machine learning, combinatorial optimization, and operational intelligence — applied to trade and logistics, where inefficiency is costly and data is underutilized. The thesis above is the first proof of concept. Future directions include hybrid RL + metaheuristic solvers for freight routing, supply chain early-warning systems, and real-time data integration architectures for trade operations.
Research inquiries → georgenarteydebrah@gmail.comAvailable for freelance engagements, consulting, and short-term contracts. Here's what I can deliver.
Currently based in Berlin and open to data engineering, analytics, ML engineering roles, and research collaborations. Let's connect.