Learning platform for Data, AI and Governance. Scientific rigor, hands‑on delivery, and responsible adoption — aligned to real business outcomes.
Clear, credible training built for real teams and real constraints — not hype.
Tailored programs to adopt AI tools, master analysis, and improve decision‑making with measurable outcomes.
Courses blending neuroscience, data science, and technology to accelerate credible innovation.
Practical frameworks for data quality, ethics, and responsible AI adoption you can defend in audits.
Training that builds shared language and trust between IT, business, and research teams.
Hands‑on modules using modern AI platforms for productivity, analytics, and governance.
Results from leading data platforms, AI adoption, and governance in production.
0% reduction in time-to-insight via self-serve analytics and unified data models.
0% course completion on the Learning Platform Academy with measurable skill uplift.
0% uptime across analytics stack using Proxmox HA + containers.
Governance, PAM, and policy-as-code built in — AI that can pass an audit.
Canadian-born analytics leader with a unique blend of neuroscience research background and enterprise data engineering expertise.
With 8+ years of experience spanning healthcare analytics, enterprise data architecture, and machine learning implementations, I specialize in transforming complex data challenges into scalable, actionable solutions.
My background in neuroscience research provides a unique analytical perspective, enabling me to approach data problems with both scientific rigor and practical business acumen.
Research experience in cognitive science and data analysis
Working across North America and Southeast Asia markets
Specialized in clinical research and healthcare data systems
I build the platform, the guardrails, and the team capability to use them.
Roadmaps, org design, delivery cadence, and runbooks for reliable, scalable data platforms.
Use-case selection, risk/benefit framing, ROI tracking, and change management for AI at work.
Access models, lineage, PII handling, audits, and policy-as-code integrated into the pipeline.
Hands-on courses and live labs: Git, dbt, Spark, Airflow, cloud security, and responsible AI.
From data contracts to audit trails — AI you can defend.
Stable schemas and SLAs between producers and consumers.
Trace data and models from source to decision with confidence.
Principled access control for least-privilege by design.
Tokenization, masking, and purpose-bound use controls.
Comprehensive technical skills across the modern data stack and analytics ecosystem.
Building scalable data pipelines with Apache Spark, Airflow, and cloud-native architectures for enterprise-grade analytics.
Implementing ML solutions for healthcare analytics, predictive modeling, and automated decision-making systems.
Designing and deploying cloud-native solutions on Azure, AWS, and GCP with focus on scalability and cost optimization.
Specialized expertise in clinical research data, healthcare compliance, and medical data processing systems.
Selected projects demonstrating expertise across data engineering, machine learning, and analytics solutions.
Modern Moodle-based learning platform with custom themes, Docker deployment, and a professional marketing homepage. Empowering 1,200+ learners with a 94% completion rate.
Outcomes: 99.9% uptime, measurable skill uplift, and consistent governance across content and data.
Enterprise-grade ETL pipeline for clinical trial data, featuring automated quality checks and real-time monitoring for healthcare analytics.
Outcomes: Regulatory-friendly lineage, zero data loss incidents, faster analytics cycles.
ML-powered system for detecting AI-generated content in educational materials, achieving 94% accuracy and supporting academic integrity.
Outcomes: Privacy-by-design, reproducible experiments, model cards with documented limits.
Leadership across data engineering, analytics, security, and product delivery — driving impact from startups to enterprise healthcare.
Implement scalable delivery processes and governance for multi-stream digital products (mobile, SaaS, emerging tech). Led cross-functional squads (UX, engineering, data, QA), integrated IoT/mobile with cloud analytics, and aligned exec stakeholders on scope, risk, and compliance.
Built low-cost, high-availability infrastructure with Proxmox for data ops and failover; deployed distributed analytics (Spark, Kafka) and collaborative environments (JupyterHub). Delivered AI-driven CRM dashboards, MLOps for custom LLMs, and secure, compliant data storage.
Supported Wallix Bastion/Access Manager deployments for PAM. Analyzed logs, resolved security issues, advised on hardening and best practices, and collaborated to maintain standards and policies.
Owned data architecture and analytics across 10 teams (200+ staff). Built secure end-to-end pipelines for clinical data, improved data accessibility by 90%, cut operational friction via workflow optimizations, and led ERP migrations (Vtiger, Odoo) to elevate data quality and decisions.
Automated KPI reporting and ETL across 20k users, 60 suppliers, and 10k products, improving sales visibility and reducing manual workload. Drove adoption of data tooling and mentored teams to scale analytics capabilities.
Delivered consulting and analytics for 10+ pharma MNCs in APAC. Produced forecasting/benchmarking reports for leadership, streamlined processes, and designed research plans from data gathering to analysis and action.
Ready to collaborate on your next data engineering or analytics project.
Ho Chi Minh City, Vietnam