Retail Sales Forecasting System

Develop an end-to-end sales forecasting application for an e-commerce retailer using Python, Pandas, and machine learning regression techniques. Perform data ingestion from CSV/JSON files, exploratory data analysis with Matplotlib, feature engineering, and model evaluation. Deploy the final model as a REST API endpoint using FastAPI.

Fraud Detection in Banking

Build a fraud detection system using object-oriented Python design, NumPy, and Pandas for data preprocessing and feature engineering. Implement classification models to identify fraudulent transactions, handle class imbalance, and evaluate model performance using appropriate metrics. Include robust error handling, logging, and custom exception classes.

Predictive Maintenance Pipeline for Manufacturing

Create a predictive maintenance pipeline that reads sensor data from multiple file formats, processes it using advanced Python data structures and Pandas, and builds a forecasting model to predict equipment failures. Implement the pipeline as a modular Python package with virtual environment management, documentation, and a FastAPI interface for real-time predictions.