Ceren özen

- Selected among thousands of applicants for a 10-month applied AI program focused on real-world implementation. - Completed end-to-end AI projects covering Python programming, SQL, and machine learning, while gaining experience with tools such as Postman and Docker. - Utilized Natural Language Processing (NLP), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) techniques to build and optimize applied AI solutions.

- Collected and analyzed sensor data from assistive devices to support R&D efforts and improve system performance. - Applied Python-based machine learning techniques (e.g., Random Forest, SVM) for signal classification and anomaly detection. - Collaborated with engineers to integrate model insights into device optimization and usability improvements.

- Completed an intensive data science bootcamp combining theoretical modules and hands-on projects. - Focused on Python programming, data preprocessing, CRM analytics, measurement techniques, recommendation systems, and machine learning. - Developed a predictive analytics project using real-world data and ranked among the top participants based on final results.

- Analyzed mobile app usage data and customer feedback using Python and SQL to identify behavioral trends and guide product improvements. - Developed interactive dashboards and automated reports (Power BI, Excel) to support strategic decisions. - Collaborated with developers and UX/UI teams to implement data-driven enhancements, improving user engagement. - Managed product localization processes, ensuring accurate content adaptation across international markets.

Managed project planning and documentation for a metaverse initiative, ensuring timeline alignment and cross-team coordination.