I’m looking for an experienced customer-analytics practitioner who can meet with me online for paid, one-on-one sessions at USD 10–15 per hour. I’m already comfortable working at an advanced level, and I run most of my analyses in Python (occasionally R), but I want to sharpen my approach to two areas in particular: • Robust data-collection frameworks that ensure accuracy and scalability • Deeper, statistics-driven data-analysis techniques that turn raw customer data into actionable insight We’ll work through my live projects together: you’ll review the way I’m gathering data, critique my existing Python notebooks, suggest stronger modeling or feature-engineering choices, and demonstrate best practices on reproducible pipelines and documentation. I expect brief homework between calls—code snippets, reading recommendations, or small refactors—to keep the momentum. Ideal cadence is two to three video sessions a week for the next month, but I’m flexible if you have a different rhythm in mind. If you’re fluent in tools such as pandas, scikit-learn, Jupyter, and Git, and can clearly explain both the “why” and the “how,” let’s set up an introductory call and dive right in.