I can help you with data structures and algorithms (DSA) and problem-solving for coding interviews. Here's an outline of how I can assist:

Understanding Concepts: We can start by reviewing the fundamental concepts of DSA, such as trees, graphs, dynamic programming, etc. I can explain each data structure and algorithm's core ideas, properties, and applications.

Problem-Solving Strategies: I can teach you various problem-solving techniques like breaking down problems, identifying patterns, using brute force and optimizing, applying the proper data structure or algorithm, and more. This will help you approach problems systematically.

Practice Problems: I can provide you with a wide range of practice problems, starting from easy to medium to hard. We can solve these problems together, and I'll guide you through the thought process, explaining the time and space complexities of different solutions.

Code Review: Once you've attempted a problem, I can review your code, provide feedback, and suggest improvements in efficiency, readability, and best practices.

Mock Interviews: We can conduct mock coding interviews, where I'll give you a problem statement, and you'll have to solve it within a given time frame. This will help you simulate the interview environment and improve your problem-solving skills under pressure.

Personalized Feedback: Throughout our sessions, I'll provide personalized feedback, identifying your strengths and weaknesses and suggesting areas for improvement.

Continuous Practice: Solving coding problems is a constant process. I'll encourage you to practice regularly and be there to support you and provide guidance whenever you need it.

Please note that learning DSA and problem-solving takes time and consistent effort. I'll do my best to help you, but you must be committed to practicing regularly. Let me know if you have any questions or want to start working together.

Hi Amritanshu,

Thanks for asking query. My expertise in Python lies in Data Analytics domain. Employing Python libraries like Numpy , Pandas , Seaborn , scikit-learn etc. Basically data analytics steps like Data cleaning , Data transformation , Data preprocessing etc.

Hence, I am not sure if I would be able to help you with specified things in query.

Apologies!