I need a Python specialist focused on data analysis—specifically predictive analysis—to turn a raw dataset into an accurate forecasting model. I noted the use of the “bsc” library, and I’m happy to see it paired with proven tools such as Pandas, NumPy, or Matplotlib if that streamlines the workflow and keeps everything inside a standard Python 3 environment. Here’s what I expect: • A fully documented Python script or Jupyter Notebook that covers data import, cleaning, feature engineering, model selection, training, and evaluation. • Inline explanations (Markdown cells or comments) so I can follow the reasoning behind each step. • A concise summary of insights and model performance. • A requirements.txt or environment.yml so I can reproduce the run on my machine. The job is complete when the notebook executes end-to-end without errors and the predictive metrics you report can be replicated on my side.