Couchbase Anomaly Detection with ML

I need an expert in Couchbase and Python to help implement anomaly detection using two ML models. The project involves:

- Query Anomalies: Detecting anomalies in any type of queries (SELECT, JOIN, Aggregations).
- Tasks:
- Data Preprocessing and Cleaning
- Model Training and Evaluation
- Integration with Couchbase

Ideal skills include:
- Proficiency in Python
- Experience with Couchbase
- Strong background in ML and anomaly detection techniques

Looking for someone who can handle the entire pipeline efficiently.