I need a Python expert to take several CSV and Excel files and turn them into solid, statistically sound insights. The work is focused entirely on data analysis and processing—no web scraping or app development—so your time goes straight into cleaning the raw tables, exploring patterns, and building the statistical models that answer my business questions. You should feel at home with pandas for wrangling, NumPy and SciPy for numerical work, and a modeling library such as scikit-learn or statsmodels to run regressions, clustering, or any technique you recommend. If you prefer working in a Jupyter notebook, that’s perfect; a well-commented .py script is also fine. I’ll supply the data files and a brief outlining the hypotheses I want tested the moment we start. Deliverables • Cleaned dataset saved back to CSV/Excel • Reproducible Python code (notebook or script) with clear comments • Concise summary of model results, including key metrics and interpretation I’ll validate the project by running your code on my machine and checking that the metrics match what you report. If that sounds straightforward to you, let’s get moving—I’m ready as soon as you are.