Shipping Vessel Prediction
Description
This was a data science project and associated web API for predicting cargo vessels' next ports of call and arrival times. It achieved the following:
- Predicted vessels' next three port calls with 50% accuracy.
- Predicted port call times within a 10-hour margin in over 50% of correct predictions.
My role involved: - Data engineering. - Designing and testing algorithms. - Writing a RESTful API server in Flask.
Techniques used included data interpolation, sequence generators, deep neural networks (DNNs), Markov chains, and automated ML ensembles.
Meta
- Start Date: 2018
- End Date: 2019
- Location: Berlin, Germany
- Role: Research Programmer