For an upcoming analytics initiative, I need a female U.S. citizen who excels in data analysis and machine learning. The current stack is Python, so you should be comfortable moving between pandas, NumPy, scikit-learn, and either TensorFlow or PyTorch to turn raw data into meaningful, testable models. Scope of this first phase • Refine the dataset I’ll provide, document key assumptions, and prepare it for modeling. • Deliver a proof-of-concept model in a Jupyter Notebook or clean script that hits agreed-upon accuracy benchmarks. • Supply well-commented code plus a concise write-up (Markdown is fine) describing feature engineering, algorithm choice, and evaluation metrics. Nice-to-have skills If you also work in .NET, Java, or modern front-end frameworks, we can extend the engagement to wrap the model in an application layer later, but the immediate priority is Python-based AI/ML. We’ll coordinate through GitHub and meet over Zoom, so clear communication and version-control discipline are important. When you reply, please confirm U.S. citizenship and link to a similar Python ML project you’ve completed. I’m excited to see what we can build together.