About Me

My Story

In the concept of Smart Cities, the main objective is to provide an easy life for citizens. Smart mobility is the pillar of smart cities and countries are planning to build a successful system for the future mobility options. I first became acquainted with smart mobility in 2017 when I was given the opportunity to attend an ITS conference on behalf of one of my professor. It lasts 3 days and I got familiar with most of the applications in Mobility systems.

The strong spark for me to go and search about it, and I ended up doing a project for the Road Federation. In that project, I understood what are my weaknesses and what are my strengths to become a researcher in ITS sector. I have been lucky enough to work with some truly inspiring colleagues who pushed me to hone my skills.

During my undergraduate studies, I pursued a software engineering degree, focusing on areas such as Data Structures, Software Engineering, Computer Networks, and Mathematics. I found great enjoyment in courses related to databases, as reflected in my grades. Subsequently, every course I took was part of a larger plan to ultimately become a Data Scientist specializing in transportation-related fields of study.

In my Master’s degree, I focused on Information systems. Meanwhile, my passion for smart mobility led me to participate in a funded project. In this project, we worked with a comprehensive traffic database spanning six years, employing machine learning techniques to forecast traffic patterns along specific routes. Subsequently, we tailored the models to accommodate different routes with unique characteristics. Nevertheless, I recognized the need to further enhance my skills in international teams.

In order to broaden my knowledge in Data Science, I pursued a non-thesis program in Data Science with a 75% scholarship in Marmara University in Istanbul,Turkey. For my final project, I developed a model to analyze accidents using geographical clustering. This project provided valuable lessons in troubleshooting and offered me the opportunity to tackle new challenges, such as addressing imbalanced datasets and working with geographical data. Through this experience, I gained valuable practice and expanded my expertise in Machine learning and statistical analysis.

Amidst the Covid pandemic, I successfully secured an internship in the field of shared mobility, which eventually evolved into one of the largest projects within the EU Commission, known as MaaS (Mobility as a Service) Berlin. It was an incredible opportunity for me to collaborate with Cleopa GmbH, a renowned German company for its researches.

To become a sucessful data freelancer, I believe that resilient patient and dedication are required on an individual level. I have gained these skills by working on the MaaS project Berlin in the Covid period where most of the time I had to work, search, and learn individually and a great time management skill was expected. The process of conducting research in this field requires dealing with complicated experiments and have the necessary skills to deal with certain situations that are essential to ensure success. I have got experience by working in a company with 600 workers as a secretary. I have learned how to manage time, being patient and helping other colleagues to build a strong team. By working in the support team, I realized that in the ever-evolving field of technology, it is crucial to continuously update my knowledge and maintain a strong enthusiasm for learning. This mindset has enabled me to become a quick learner and develop a “can-do” attitude towards new challenges.