Dilber Özer
Artificial Intelligence/ Database Administrator
About Me
Hello! I’m Dilber Özer. I am passionate about Artificial Intelligence and database management. I have previously gained hands-on experience in data-related roles, and I’ve consistently found myself engaged in tasks involving data organization, structure, and optimization. These experiences have strengthened my interest in ensuring data accuracy, security, and efficiency within complex systems.
I specialize in developing machine learning models, data analysis, and database management to support informed decision-making and drive business optimization. I have proficiency in tools such as Python, SQL, and PostgreSQL, with solid expertise in data modeling, relational database management, and process optimization. I am committed to leveraging AI techniques to create innovative solutions, and I am always eager to learn and adapt to new technologies in this fast-evolving field. With a collaborative mindset, I thrive in team settings and continuously aim to use AI and data systems to enhance operational workflows and contribute to the growth of organizations..
Bio
Professional Skills
WORK EXPERIENCE
Education
Portfolio
Python / EDA
Instagram Reach Analysis
Conducted comprehensive data collection and preprocessing on Instagram post reach data, ensuring high-quality data for analysis. Performed exploratory data analysis (EDA) to uncover key insights and trends, using Python for data visualization and interpretation. Developed and evaluated machine learning models to predict Instagram post reach, providing actionable insights based on model performance
PostgreSQL / Windows Form / C#
Patient Record System
Designed and implemented a C Windows Form application with SQL integration for a Gynecology and Obstetrics Patient Registration System. Developed functionalities to record, update, and delete personal information of patients efficiently.Ensured seamless data management for daily hospital patient records, enhancing operational efficiency and accuracy.
PostgreSQL / Empty / Empty
Film library management system
Developed a comprehensive automation system for managing a movie library, enabling administrators to add and update movies and users to search, list, rate, and comment on movies. Implemented user management features, distinguishing between standard and premium users, and managing user information and membership details. Integrated movie statistics and notification functionalities, providing users with updaes on new movies and ensuring efficient database-based movie library management.