Oliver Eisele Email & Phone Number

Berlin, De

Berlin

Successfully completed an intensive Data Science Bootcamp and acquired deep knowledge and practical skills in Deep Learning.

Berlin

Leveraged machine learning techniques and extensive operational datasets from wind farms to demonstrate the efficacy of aerodynamic rotor blade add-ons such as vortex generators and trailing edge serrations. Successfully reviewed by DNV-GL. Provided decisive evidence to major operators and manufacturers, effectively convincing them of our solution's value and effectiveness.In addition to my primary responsibilities, I managed essential IT operations, including the establishment and maintenance of a computational cluster. My role encompassed comprehensive network administration, upkeep of VPN and SFTP servers, safeguarding enterprise data with robust remote backups, and deploying dockerized applications to enhance our technological infrastructure.

Berlin

Developed and optimized tailored aerodynamic upgrade solutions for wind turbine rotor blades, including vortex generators, spoilers, and flaps. Optimization was conducted through wind tunnel testing, computational fluid dynamics (using OpenFOAM), and aeroelastic simulations (utilizing NREL FAST)."

Diplom-Ingenieur, Physikalische Ingenieurwissenschaft, 1.0 (Graduated With Honors)

Special focus on experimental fluiddynamics and numerics.

Education record

Activities and Societies: Erasmus.