Resume

Team Lead and data engineering leader with deep expertise in building secure, scalable, open-source data science platforms for government. Proven ability to architect Kubernetes-based infrastructure (Kubeflow, JupyterLab), mentor technical teams, and drive adoption of reproducible, ethical data practices across institutional boundaries. Combines technical rigor with a human-centered leadership style rooted in collaboration, transparency, and resilience.

TECHNICAL LEADERSHIP EXPERIENCE

STATISTICS CANADA | 2022–PRESENT Team Lead, Open Source Data Science Platform

Lead a cross-functional team building a government-wide, open-source data science platform using Kubeflow, Kubernetes, and JupyterLab
Architected scalable, secure infrastructure enabling reproducible workflows for 50+ statistical programs
Mentor developers in GitOps, CI/CD, containerization, and ethical data handling practices
Championed open-source adoption within federal constraints—replacing legacy tools with transparent, community-driven alternatives
Collaborate with security, privacy, and cloud teams to ensure compliance with TBS and SSC standards

HEALTH CANADA | 2020–2022 Lead Data Science Consultant

Designed and deployed machine learning pipelines for public health surveillance and consumer price analysis
Built data infrastructure supporting real-time analytics during pandemic response
Led technical mentorship for junior data scientists and analysts
Translated complex model outputs into clear, actionable insights for non-technical stakeholders

STATISTICS CANADA | 2019–2020 Data Analyst, Consumer Prices Division

Automated manual data processing workflows using Python and open-source tools
Identified critical inefficiencies in Excel/PowerBI-dependent processes—laying groundwork for future platform migration
Collaborated with economists on statistical methodology and data validation

EDUCATION & CREDENTIALS

UNIVERSITY OF OTTAWA | 2014–2019 BSc and MSc in Statistics

Thesis research in natural language processing and statistical modeling
Published in FLAIRS-29 conference proceedings

CERTIFIED KUBERNETES APPLICATION DEVELOPER (CKAD) | 2025

Validated expertise in Kubernetes application design, deployment, and troubleshooting

TECHNICAL SKILLS

Category	Skills
Platforms	Kubernetes, Kubeflow, JupyterLab, Docker
Cloud & Infra	AWS, Google Cloud, Azure, Linux, CI/CD, GitOps
Languages	Python, R, Golang, Bash, SQL
Data Engineering	Reproducible Workflows, Data Pipeline Design, SAS Migration, Open Data Standards
Leadership	Team Mentoring, Cross-functional Collaboration, Stakeholder Communication, Open Source Advocacy, Ethical Data Governance

LEADERSHIP APPROACH

I lead by enabling—not controlling. My strength lies in building infrastructure that empowers teams to do their best work: platforms that are robust yet flexible, processes that are rigorous yet humane, and cultures that value both technical excellence and human integrity.

In uncertain times, I anchor my leadership in three principles: transparency (open systems, open knowledge), resilience (through mentorship, redundancy, and adaptability), and service (technology must serve people, not bureaucracy). I am developing my inner warrior—not for dominance, but for steadfastness—so I can steward teams through complexity with clarity, compassion, and unwavering ethics.