ML Model for Health Data Analysis

I need an experienced data scientist to build time-series machine learning models using data from wearable devices. The goal is to develop personal health baselines and anomaly detection algorithms.

Data will be sourced from:
- Fitbit, Apple Watch, and Garmin
- Metrics: Heart rate, HRV, and sleep patterns

Key Requirements:
- Expertise in time-series analysis and machine learning
- Experience with health and wellness data
- Proficiency in Python/R and relevant ML libraries
- Ability to develop robust anomaly detection algorithms

Ideal Skills:
- Strong background in data science
- Knowledge of wearable device data
- Experience with health metrics analysis

Please provide:
- Past project examples
- Estimated timeline
- Relevant qualifications