With over one year of experience in Python, machine learning, data analytics, and Python backend web development, he has cultivated strong problem-solving abilities and practical programming skills. He recently led the development of a content-based chatbot utilizing LangChain and LLMs, leveraging Python and Streamlit to deliver an efficient solution. His portfolio includes diverse projects such as a fire detection system using YOLO, where he applied deep learning, computer vision, TensorFlow, and Keras. For license plate detection and landslide classification systems, he employed CNN, YOLO, OpenCV, and PyTesseract, demonstrating expertise in advanced algorithms. Additionally, he developed a car detection and counting system using YOLOv8, showcasing proficiency in real-time implementation. To complement these technical projects, he created insightful dashboards for data analysis, including those for the ODI Cricket World Cup and Pakistan Super League, using Power BI to effectively present analytics. These endeavors have honed his skills in data cleaning, visualization, exploratory data analysis (EDA), model training, deployment, and problem-solving while maintaining a consistent track record of timely task delivery.