At RealSoft Advanced Applications, I worked as a Data Science & AI Intern, profiling and preprocessing data and analyzing datasets with Python. I also developed and evaluated AI and machine learning models.
For my graduation project, I developed an AI-driven basketball analysis platform that detects and tracks players and the ball in video footage. I worked on dataset preparation, annotation, model training, evaluation, and optimization.
I built the platform’s AI pipeline using YOLO-based object detection, OpenCV, and tracking algorithms. It supports automated analysis of player movement, ball tracking, possession, and basketball events.
Across academic and practical projects, I’ve worked on data preparation and analytics, machine learning, deep learning, and computer vision. I also hold the Microsoft Certified: Azure Data Fundamentals (DP-900) certification.
