I'm software Eng, Data scientist and solving problems through data analysis. Experienced in machine learning, data visualization

In terms of what I can teach, I can provide guidance on a wide range of topics related to software engineering, data science, and machine learning. Specifically, I can provide insights and recommendations on software design, development methodologies, testing practices, data cleaning and preprocessing, statistical analysis, machine learning algorithms, and model evaluation. In addition, I can help you improve your programming skills in Python, providing guidance on basic syntax, data types, object-oriented programming, and web development frameworks. I can also offer guidance on using Git and GitHub for version control, including setting up a repository, branching and merging, resolving conflicts, and collaborating with other developers. When it comes to my lessons, I strive to provide clear and concise explanations of complex concepts, breaking down ideas into simple, easy-to-understand terms. I often use practical examples and resources to help you apply what you've learned, and I can provide insights and recommendations based on industry best practices and current trends in the field. Overall, my goal is to help you become a more confident and competent software engineer, data scientist, and machine learning practitioner. If you have any specific questions or areas of interest, feel free to ask, and I'll do my best to provide you with the guidance and support you need to succeed.