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