I’m looking for a mathematician who can tackle a range of analytical problems I’ve gathered for personal development. The questions span algebra, optimisation, and a few data-driven scenarios where results should inform sensible, real-world decisions, so the work isn’t just about getting the right numeric answer—it’s also about explaining the reasoning that leads there. Because this is purely for my own learning, there’s no hard deadline; quality of insight matters far more than speed. I’d like step-by-step solutions written clearly enough that I can follow the logic, with any supporting spreadsheets or code (Python, R, or even Excel) included if you use them during your analysis. Collaboration is welcome—I’m happy to discuss alternative approaches or challenge underlying assumptions—but you should also be comfortable working independently and structuring your own workflow. Deliverables: • Complete, well-annotated solutions to each problem • A concise summary showing how the results would guide decision-making in a business context • All working files (notebooks, spreadsheets, or scripts) in an organised folder If you’re the type who enjoys digging into numbers, testing methods, and communicating ideas clearly, I’d love to hear how you’d approach this.