Cardiovascular Anomaly Detection Model -- 2

I need a skilled data scientist or machine learning engineer to develop a CNN and LSTM-based model for detecting anomalies in cardiovascular health.

Key Requirements:
- Use of sensor data such as ECG and heart rate
- Focus on anomaly detection

Ideal Skills:
- Expertise in CNN and LSTM models
- Experience with sensor data
- Strong background in anomaly detection techniques
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, Keras)

Please provide a portfolio showcasing similar projects.