→ Led the Connected Devices DS team (3 direct reports) and championed its mission: to better leverage raw and engineered signals from remote patient monitoring devices across the Teladoc ecosystem.

→ Deployed a daily pipeline that performs anomaly detection for 175K+ individuals with connected weight scales, ensuring high quality data for downstream DS applications (client reporting, clinical analytics, personalized models).

→ Launched a secure web portal that enables the DS team to design and deliver specific coaching interventions quickly and efficiently (i.e., with minimal engineering resources), accelerating delivery of cutting-edge human-powered coaching.

→ Data Science lead for internal projects related to continuous glucose monitoring, a major product initiative and key external partnership: opportunity sizing, power analysis, eligibility validation, clinical metric aggregation and ETL, longitudinal analyses.

→ Instrumented logic that enables validation of key self-reported health traits (e.g., diabetes type, insulin usage) data against external data sources (e.g., prescription fills, device readings), creating opportunities for proactive outreach to participants.