Predictive Analytics & Visualization Tool Using Python and Machine Learning

We are seeking a skilled Python developer with experience in machine learning and data visualization to create a compact predictive analytics tool. This project involves developing a lightweight model to analyze a structured dataset, generate insights, and visualize the results in an interactive and user-friendly format (dashboard or report).

Objectives:
• Clean and preprocess the dataset (CSV or Excel format)
• Apply feature selection and data transformation
• Train and evaluate at least one machine learning model (regression or classification depending on data)
• Visualize data trends and model predictions using libraries like Matplotlib, Seaborn, or Plotly
• Deliver a well-documented Python script or Jupyter Notebook

Deliverables:
• Fully functional and clean Python code
• Trained ML model with evaluation metrics (accuracy, precision, recall, or RMSE depending on task)
• At least 3-5 meaningful visualizations (charts, heatmaps, trend lines, etc.)
• Final output in Jupyter Notebook or standalone Python script with inline comments
• README file with setup instructions

Requirements:
• Experience with Scikit-learn, Pandas, NumPy, Matplotlib/Seaborn/Plotly
• Clear understanding of data science workflows
• Good communication and documentation skills