AI & Architecture Diagnostic
Audit data pipelines, identify LLM/ML feasibility, and deliver an executive execution roadmap for the highest-leverage moves.
- Pipeline & data audit
- LLM/ML feasibility assessment
- Executive execution roadmap
Big 4 rigor without the Big 4 bloat.
Boutique data, analytics, and AI/ML consulting where clients work directly with ex-Big 4 and tech-company veterans who can shape strategy and ship the work.

About the principal
Founder & Principal AI/ML Consultant
Fannie brings an uncommon mix of executive leadership and hands-on delivery: Director of ML & AI Engineering in regulated industries such as finance and healthcare, an ex-Big 4 consultant, and a University of Waterloo lecturer and researcher.
Real-time predictive models deployed directly across browser and mobile experiences at national scale.
Real-time predictive models connected directly to commercial action.
Published in IEEE Access on generative synthetic data and privacy-preserving AI.
University of Waterloo lecturer and keynote speaker at CDAO Canada.
Clients work directly with ex-Big 4 and tech-company veterans.
Speed for founders, reliability for enterprise executives.
Every engagement is anchored to a measurable business outcome.
Production AI
LLM workflows and predictive models
Executive analytics
Dashboards leaders actually use
Data strategy
Roadmaps tied to business priorities
Governance
Reliable systems with clear ownership
Structured engagements
No discipline buckets to decode — each engagement is scoped, time-boxed, and anchored to an outcome you can point to.
Audit data pipelines, identify LLM/ML feasibility, and deliver an executive execution roadmap for the highest-leverage moves.
Build and deploy a production-grade predictive model or LLM workflow tied directly to a commercial KPI.
Strategic leadership, team hiring playbooks, and architectural governance for teams that are scaling fast.
Proof points
Time-dependent AUC of 0.87
Five-year diabetes risk prediction models used routine blood biomarkers and longitudinal laboratory data to support earlier risk identification in regulated healthcare.
32% revenue increase in month one
End-to-end tracking from lead capture to product utilization gave leaders a single operating view of conversion and expansion.
A scaling model for growing teams
Organizational design, role hierarchy, and decision rights helped a scaling company invest in the right data capabilities at the right time.
Research & talks
Fannie's public research and conference talks reinforce DataSix's focus on responsible, production-minded AI in highly regulated settings.
Presented at the American Diabetes Association Scientific Sessions, connecting routine lab data to preventive health risk modeling.
Read abstractPeer-reviewed IEEE Access publication on privacy-preserving synthetic clinical data for regulated healthcare AI.
View paperCDAO Canada keynote and panel discussion on building trust, scale, and impact with applied AI.
View talk postFuture Pharma Marketing Conference talk on hybrid Temporal Convolutional Network and Transformer modeling for healthcare data.
Watch videoTestimonials
Fannie is a pleasure to work with and is an exceptional data consultant. She provided oversight to our analysts and helped with the creation of automated SQL scripts and the outlining of a master plan for setting up our data architecture in Azure. Fannie has the ability to understand complex data structures and translate business requirements into efficient, robust queries. I wholeheartedly recommend Fannie as a data consultant. Her dedication to the technical field of Data, coupled with her exceptional communication skills, sets her apart in the field.
Wajdi Ghoussoub
SVP FinancePlooto
Engagement model
DataSix is built for clients who want partner-level thinking in the room and hands-on builders at the keyboard. The model removes layers, meetings, and vague deliverables so the work stays close to business value.
Rapid diagnostics, implementation sprints, and practical data products that show ROI quickly.
Governed architectures, executive roadmaps, and reliable delivery patterns that withstand scrutiny.
A direct senior team that can translate ambition into analytics, AI, and data engineering priorities.
Clear trade-offs, credible sequencing, and decision-ready artifacts without the consulting theatre.
Consultation
Choose a time for a focused 30-minute strategy call with a senior practitioner, or send a short note if you prefer to start asynchronously.