• Daily management of the EVRecommend project, a data-driven recommendation system for suggesting the most suitable Electrical Vehicles to replace a traditional car.• Developed a Route Planner for Electrical Vehicles, capable of finding the optimal path to reach a given destination and - if necessary - the required deviations and stops to recharge the battery.• Developed mathematical models for EV battery charging.• Developed a trip simulation system to determine the best EVs within a given city or geographical area.• Project management and documentation of results.• Trained a Machine Learning model to predict a car’s fuel consumption within a trip from telematics data.• Analyzed mobility data, producing statistics and visualizations to be implemented within the DigitalFleet applications.• Produced reports and documentation of results and methods.• Developed a Python algorithm to identify the optimal charging strategy of an electric vehicle. throughout a series of journeys.• Created mathematical scores to determine to what extent a certain driving behavior and external conditions are suitable for driving an EV.