AI Smart Manufacturing
Praveen Chittem
Data Analyst
Data Engineer
ML Engineer
Docker Compose
Flask
Kubernetes
Python
scikit-learn
My role in this project was to develop machine learning models using boosted trees and get the best features using feature engineering to suggest adjustments in the casting melting process and spindle assembly which is deployed using dockers and managed through the Kubernetes cluster at the client's side. Though, the datasets are too small, tried our best to achieve 85% accuracy and helped the customer to manufacture the successful product.
2020
