I develop deep learning projects and train artificial intelligence models utilizing tools such as OpenCV and PyTorch

I offer demonstrated proficiency in the Python data stack, encompassing tools such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, and NLP, alongside contemporary infrastructure utilities. I am equipped to support various data science requirements, including advanced AI implementation (Large Language Model development, Vision-Language Model integration, Retrieval-Augmented Generation systems), core data science (comprehensive data analysis and preprocessing, strategic feature engineering, expert data visualization, statistical modeling and inference), machine learning excellence (end-to-end ML pipeline development, production-ready model deployment, deep learning architecture design, natural language processing solutions, computer vision applications), and business-focused analysis (predictive analytics implementation, time series forecasting and trend analysis, customer sentiment analysis, operational efficiency optimization). All projects are delivered with thoroughly documented Jupyter notebooks featuring clean, efficient code, ensuring timely completion with meticulous attention to detail and optimized performance.