
Highly motivated recent graduate with bachelor's degree in Computer Science seeking an entry level position in software development. Detail-oriented and analytical aspiring Data Scientist with strong foundation in Python, statistics, and machine learning. Proficient in data cleaning, visualization, and predictive modeling using tools like Pandas, Scikit-learn, and SQL.
Enhanced Surveillance and Security System
Tools: Python, TensorFlow, OpenCV, YOLO, Raspberry Pi
Developed an AI-powered surveillance system integrating computer vision and deep learning for real-time theft detection. Implemented modules for motion tracking, mask and weapon detection, facial expression and pose recognition, and activity captioning. Achieved over 90% accuracy in detection tasks while minimizing false positives. Designed for scalable, cost-effective deployment with automated alerts and evidence generation.