Dipl.-Ing. Michail Markakis

• Creation of mobility concepts and strategies for public and private developments. • Integrated transportation planning, mobility and parking management for new developments. • Infrastructure development scenarios, street design and strategies for urban redevelopment. • Collaborating on international projects of transport planning, people movement, freight management including traffic studies.

• Executed market and competition analyses and derivation of recommendations for management action. • Support in the conception and implementation of market entry strategies in international markets and in the analysis of new business fields. • Identification and evaluation of business opportunities and preparation of key figure analyses and business cases. • Selection, administration, preparation, planning, management, implementation and follow‑up of trade fairs, conferences and other sales events.

As a research assistant in the RLS Graduate School EnergieSystemWende, I worked for the project Sustainable Mobility Scenarios in Germany. The result was the report "Germany 2040 - Pathways for a decarbonized passenger transport sector". • Definition of future mobility scenarios • Development of suitable methodology for creating qualitative and quantitative scenarios • Reviewing possible transport sector measures towards a fully decarbonized transport sector

As a Junior Civil Engineer in PST GmbH, I was working on road engineering projects, in the Bradenburg - Schönefeld area. More specifically, the projects that I worked on consisted of : -Traffic planning (Verkehrsplanung) -Urban water engineering / infrastracture (Siedlungswasserbau / Infrastraktur) LP 1-5 -Road planning / Traffic systems - (Straßenplanung / Verkehrsanlagen) LP 1-5

- Projects: • ‘’Inner-city periphery : The future of Plötzensee area” • “Subversive Urbanism”

- Projects: • ‘’Exhibition showroom model’’ • ‘’Residential projects’’ • “Block of flats complex’’ - Participant in the organization and management of the above projects - Editing of the online and printed office portfolio - Managing the office archive

Taking part in the management of current projects.

9-week full-time intensive coding bootcamp to learn Data Science with Python: - Data Analytics: SQL, Pandas, Numpy, and Matplotlib - Statistics: Scipy, Seaborn, and Statsmodels - Machine Learning: Scikit-learn - Deep Learning: TensorFlow Keras - Data Products and Deployment: Google Cloud Platform, ML Flow, Docker, Flask, Heroku and Streamlit.

Masters's Thesis : "Accessibility evaluation and refurbishment to the Venetian walls of Heraklion, Crete" GPA: 10/10

Erasmus + Student, MSc in Civil Engineering

Specialized in Transportation Engineering, Project Management and Development GPA: 7.73/10