Peace Isaac

Data & Analytics · AI Adoption · AI Governance · Python · SQL

Montreal, QC

About Me

15+ years in data and technology, including five in Canada across the energy sector and the federal public service. I'm now completing a Master of Management Analytics at McGill - (Class of 2027), developing my technical expertise in data science & analytics. What I care about is making AI work inside real organizations: from successful pilots to systems that scale, that people trust, and that hold up under scrutiny.

Career Goals

To work at the intersection of building AI and governing it — architecting and scaling AI solutions, driving adoption across organizations, and translating messy business workflows into requirements engineering teams can actually deliver against. Longer term, I'm working toward a leadership role in Data Governance and Responsible AI.

Experience

Brookfield Renewable

Coordinator, Technology Services (Mar 2024 – Jan 2026)

  • Led the migration of terabyte-scale historical energy data from legacy Oracle systems to a modern data platform, transitioning 50+ power users across trading departments with zero downtime during critical trading hours.
  • Restructured executive stakeholder engagement by establishing three functional alignment groups, streamlining the requirements process behind real-time supervisory reporting.
  • Delivered the 2025 CAPEX roadmap, including a database vendor transition and root-cause resolution of hardware-level infrastructure failures.

Coordinator, Data Analytics & Integration (Oct 2022 – Mar 2024)

  • Led IT workstreams for the multi-year IESO Market Renewal Program, preparing systems for an enterprise-wide energy market transition.
  • Cut a legacy support backlog by 55% and halved response times within 90 days.
  • Built a cross-functional alignment framework adopted as a departmental standard.

Employment and Social Development Canada (ESDC)

Program Consultant, Digital Workplace Taskforce

  • Developed a validated data-entry system for security clearance applications, removing 30+ days from each processing cycle.
  • Translated business needs into technical requirements for five priority digitization projects in an Agile delivery model.

EDMS | Dentallytics

Technical Business Analyst

  • Automated high-volume data extraction using C# and regular expressions, reducing processing time from one week to a few minutes.
  • Developed checks to ensure the harmonization of third-party datasets into the enterprise data warehouse.
  • Translated dental service organization requirements into specifications for clinic-level financial analytics tools.

Earlier career: 10+ years in operations and technology roles across financial services and the public sector.

Skills

  • Python
  • SQL
  • Cloud AI Platforms (Microsoft Azure, AWS)
  • Data Governance
  • Stakeholder Translation
  • IT Operations Management
  • Change Management

Projects

Project Image

Coming soon — MMA capstone

Details to follow as coursework produces them.

Project Image

Coming soon

Details to follow as coursework produces them.

Project Image

Coming soon

Details to follow as coursework produces them.