Shauna Heron

Data scientist with five years of applied experience (both academic and industry) turning messy, real-world data into production-quality analytics. Currently the sole data lead for a community mental health agency, where I build predictive models, reproducible reports, and interpretable machine-learning workflows that clinicians and executives rely on daily. Graduate training in experimental psychology and machine learning underpins the statistical depth of the work.

I look for roles where the problem is genuinely hard, the data is genuinely messy, and the work matters.

Data Scientist - Office of Systems Performance at Compass Child & Youth Mental Health (2023 - Present)

Sole data scientist for a mental health agency of 100+ staff serving thousands of clients annually across counselling, walk-in, and supervised-access programs.

• Own the full analytics pipeline for a large longitudinal EHR dataset — scripting, extraction, cleaning, linkage, feature engineering, and modelling — in R and Python.
• Built and maintain reproducible Quarto-based reporting that produces weekly, monthly, and quarterly reports used by leadership, program managers, and clinical teams.
• Adhoc analysis and data support for staff across the agency — from clinicians to executives — on topics ranging from client demographics to program utilization to clinical outcomes.
• Developed interpretable machine-learning models in R to forecast clinician workload from EHR data; operational dashboard integration planned (see thesis).
• Designed and deployed an internal retrieval-augmented-generation (RAG) system over agency policy documents, reducing time-to-answer for staff policy questions.
• Implemented two validated organizational-health instruments for annual workplace monitoring; analyze year-over-year results and present findings to executive leadership.
• Translate complex analytical and statistical findings for non-technical audiences — clinicians, program managers, and executives — through briefings, reports, and ad-hoc analysis.

Prior technical roles at Various agencies and in-house teams

Over a decade of earlier technical work including web development, front-end and UI work, and technical systems support across multiple agencies and in-house teams.

MA in Experimental Psychology (Computational Science focus) – Laurentian University (2023 – July 2026)

BSc Honours in Applied Science / Psychology Specialization – Laurentian University (2019 – 2022)