Istanbul, Türkiye
As a graduate from Computer Engineering, I am poised to deepen my understanding in the dynamic fields of Artificial Intelligence (AI), image processing, machine learning, web development, data science, and business analysis. My academic and personal exploration has equipped me with valuable programming skills in Java, Python, Matlab, SQL, CSS, and HTML, setting a strong foundation for tackling technical and analytical challenges. Participation in organizations like EESTEC has been instrumental in honing my teamwork and communication skills, preparing me to contribute effectively in collaborative environments. In addition to my technical expertise, I am particularly interested in business analysis and have gained hands-on experience with ERP systems (including canias ERP). I have developed skills in process optimization, requirements gathering, stakeholder communication, and cross-functional team collaboration. I aim to apply these skills to improve business processes and support data-driven decision-making. Driven by an ambition to innovate and solve real-world problems, I am eager to apply my technical skills and creative analytical approach in a team setting, where collaboration and learning foster groundbreaking advancements. At the outset of my professional journey, I am committed to continuous learning, aiming to leverage my expertise to make meaningful contributions to both technology and business.
Enhanced ERP system functionalities using canias ERP to optimize business processes. Developed and implemented new features to meet organizational needs. Collaborated with team members to deliver effective technical solutions. Gained hands-on experience in ERP system management and business process optimization. Contributed to the design and improvement of internal tools and processes.
• Led the Regionalization Project at EESTEC, aligning regional activities with organizational policies. • Strengthened cross-branch collaboration through effective communication and strategic planning. • Enhanced regional engagement and improved project outcomes, showcasing leadership skills.
As the Region I Coordinator at EESTEC, I facilitated communication and collaboration among local committees in the region and coordinated the organization of events and meetings.
As a member of the Supervisory Board at EESTEC LC Eskişehir, I oversaw the compliance of the local committee's activities with the association's regulations and strategic goals. I was responsible for ensuring transparency and accountability, reviewing financial and operational procedures, and providing feedback for continuous improvement. Additionally, that year, I took on the role of Head of Organizing Committee for the LRM event, leading the planning and execution of the event across multiple teams.
• Represented EESTEC LC Eskişehir internationally, ensuring effective communication with other branches. • Managed local responsibilities, coordinating events to strengthen the branch's presence. • Developed strong leadership and communication skills in a multicultural environment.
During my internship, I focused on Machine Learning, a field within Artificial Intelligence that involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without being explicitly programmed. I gained hands-on experience in various aspects of Machine Learning, such as data preprocessing, feature selection, model training, and evaluation. I worked with popular libraries and frameworks like TensorFlow and scikit-learn, gaining proficiency in implementing and experimenting with different Machine Learning algorithms, including regression, classification, and clustering. Throughout my internship, I had the opportunity to work on real-world projects, applying Machine Learning techniques to solve practical problems. I also collaborated with a team of professionals, participated in brainstorming sessions, and contributed to the development and improvement of ML models. This experience not only enhanced my technical skills but also provided valuable insights into the application of Machine Learning in diverse domains such as healthcare, finance, and natural language processing. Overall, my internship in Machine Learning was a rewarding and enriching experience that deepened my understanding of this dynamic and rapidly evolving field.