Machine Downtime Dashboard

Develop an end-to-end analytics solution that predicts machine failures using real industrial sensor data.

Our project combined:

? Data cleaning & preprocessing (SQL + Python)

? Feature engineering & statistical analysis

? Predictive modeling for failure detection

? A fully‑designed Power BI dashboard for real‑time monitoring

? Actionable insights to support maintenance decisions

This dashboard allows users to:

? Track machine health

? Identify early warning signs of failure

? Monitor hydraulic pressure, temperature, vibration, torque & load index

? Visualize downtime trends by month and reason

? View failure probability for each machine

? Improve maintenance planning and reduce unplanned downtime