InternalOxbow Academy
Behavioral-Health Analytics Platform
Therapists needed daily visibility into which clients require follow-up — but the data lived in manual entry and disconnected intake workflows.
roleFull Stack Engineer & Data Analyst
timelineOct 2025 — present
statusinternal
- Python
- SQL
- TypeScript
- Pandas
- Local servers
// problem
In a residential behavioral-health program, timely follow-up matters clinically. Daily observations existed but weren't being analyzed fast enough to guide the next day's care, and intake data entry was manual.
// users
10–15 direct users: therapists, supervisors, coordinators, and behavioral-health technicians.
// constraints
Sensitive treatment data in a regulated (HIPAA) environment — everything runs on a local network and local-server deployment, not the public cloud.
// solution
Client-analysis dashboards built from daily data that surface clients needing follow-up, plus automation of previously manual data entry and examination/intake workflows feeding structured relational data systems.
// my role
- Dashboard design and build (Python, SQL, TypeScript)
- Automation of manual data-entry and intake workflows
- Relational data modeling and analytical reporting for leadership
- Working directly with clinical staff to translate care workflows into software
// status & outcomes
In production on the internal network, supporting daily clinical follow-up decisions and process improvements. Details and screenshots are withheld — regulated environment.
// lessons
In clinical settings the dashboard is a care tool: false confidence is worse than no data, so every metric needs a clear definition the staff agreed on.