Manufacturing Analytics
Insert Life Predictor — Tenaris
Built a Python-based predictive model to forecast threaded pieces per insert and support real-time cost visibility across manufacturing lines. The work connected production data, tooling data, and shop-floor feedback into a practical decision-support tool.
- Focused on insert consumption, cost forecasting, and key driver identification.
- Combined data cleaning, feature engineering, model validation, and implementation feedback.
- Designed for real operational use, not just analysis in isolation.
Python
Machine Learning
Cost Savings