Justin Chang
I build AI products, workflow systems, and stakeholder-ready analytics. My work spans product discovery, explainable AI, CRM workflows, and applied ML.
Databricks · Salesforce Platform · Python · SQL · R · React · Next.js
Featured Case Study
A CRM data-readiness workspace that turns a messy export into business-ready data, one reviewed decision at a time.
harmonIQ
Profiles high-impact CRM failures, prioritizes fixes, and keeps users in control before clean CSV export.
Role relevance: business-impact prioritization · explainable AI · human-in-the-loop trust · MVP scoping
users tested
data readiness
clean export
Kestrel
Turns job descriptions into structured action-plan outputs, transparent comparisons, and clear next steps.
Role relevance: ambiguous problem framing · explainable AI · structured outputs · end-to-end execution
users tested
prompt workflow
typed schemas
Product judgment backed by technical execution
I translate ambiguous workflow and data problems into structured requirements, stakeholder-ready systems, and user-tested products.
RECORDS MODELED
Scoped a PTSD risk-prediction study and translated clinical questions into five prioritized analytical objectives.
LESS MANUAL ANALYSIS
Built reusable Python and R pipelines that reduced repetitive analysis and improved stakeholder access to results.
HIGHER COMPLETION
Redesigned recruitment and scheduling workflows across 100+ sessions for a 136-participant study.
USERS TESTED
Tested Kestrel action-plan outputs with 15 users and harmonIQ with five CRM users.
Aspiring Product Manager · Early-Career Product Builder · AI + Data Workflows
Product discovery · product strategy · requirements definition · MVP scoping · prioritization · user testing · workflow design · stakeholder management
Python · SQL · R · TypeScript · React · Next.js · Salesforce Platform · Databricks training
Experience building dashboards, pipelines, and stakeholder-ready tools
Across health AI, research operations, and product work, I have built pipelines, dashboards, scheduling tools, and AI products that made complex work easier to coordinate, explain, and act on.
ML Data Analyst
Temerty Centre for AI Research and Education in Medicine
Defined the technical scope for a PTSD risk-prediction study using 30K patient records, translated the problem into five prioritized analytical objectives, and helped build explainable statistical and ML workflows that cut manual analysis time by 70%.
Project Lead
Ontario Institute for Studies in Education
Expanded a solo research initiative into a five-member team, owned prioritization across recruitment, scheduling, documentation, and reporting for a two-phase 136-participant study, and raised completion rates by 63% while cutting data inconsistencies by 85%.
Neuroimaging Data Analyst
CAMH, Centre for Addiction and Mental Health
Redesigned fMRI data intake and preprocessing via fMRIPrep across 200+ imaging sessions for a 72-participant study, then built, documented, and demoed a repeatable R analytics pipeline that became the team’s default workflow.
Research Data Analyst
CAMH, Centre for Addiction and Mental Health
Coordinated study requirements across 60+ patients and 20+ stakeholders, then built a centralized Excel and Tableau tracking system that eliminated duplicate outreach and cut handoff prep from hours to minutes.
Let's connect.
Email is the fastest way to reach me for recruiting conversations, portfolio context, and product or analytics walkthroughs.
© 2026 Justin Chang
Built to show how I scope products, design clear flows, and translate technical work into action.
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