Machine Learning professional with experience in various technical domains. He possesses a strong foundation in the technical stack of Data Science and Machine Learning, including proficiency in Python programming, data visualization, supervised and unsupervised learning algorithms, feature engineering, feature selection, artificial neural networks (ANN), convolutional neural networks (CNN), and the overall data science lifecycle. also familiar with deep learning frameworks like TensorFlow and has hands-on experience with cloud computing platforms, particularly AWS.In terms of mathematics, has a solid understanding of algebra, probability, statistics, and calculus, which are crucial for developing machine learning models. His programming expertise extends beyond Python to include a basic knowledge of Java. proficient in working with databases, particularly MySQL and Oracle SQL Developers. I am experienced in writing stored procedures, views, functions, dynamic SQL queries, and indexing techniques for efficient data retrieval.Analyzed large and imbalanced datasets, providing data insights, optimizing solutions, and strategic directions for data-driven decision-making. He demonstrated expertise in various Python libraries, including NumPy, Matplotlib, Pandas, Seaborn, Scikit-Learn, and NLTK.Overall, dedicated and skilled Data Science and Machine Learning professional with a strong technical background, practical experience in applying machine learning techniques to real-world problems, and a drive to continuously expand his knowledge in the field.