Smart Personal Protective Equipment Detector on a construction site using YOLO-NAS
Multi-Class Classification of the Personal Protective Gear at construction sites using YOLO-NAS and data from Roboflow.
Data Science • Machine Learning • Artificial Intelligence
Hamza is a Data Scientist and Machine Learning Engineer with a Master of Science in Business Analytics from New York University's Stern School of Business. Based in the UAE, Hamza is dedicated to researching and implementing cutting-edge technologies. His expertise spans machine learning, deep learning, statistical analysis, and causal analysis, making him a versatile force in the world of data science!
Recent Projects
Medical Chatbot using Llama2 + FAISS
Medical Chatbot using Llama2, langchain, FAISS, deployed on Flask.
Kaggle Competition: Blue Book for Bulldozers
Time-Series regression analysis using various algorithms and techniques to predict bulldozer prices.
Marketing Analysis using Customer Segmentation Techniques
Segmenting customers using unsupervised machine learning techniques such as k-means and hierarchical clustering.