Senior-practitioner consulting

DataSix

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.

Fannie Cai, Founder and Principal AI/ML Consultant at DataSix

About the principal

Fannie (Fan) Cai

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.

Director of ML & AI EngineeringRegulated industries: finance & healthcareEx-Big 4Waterloo lecturer & researcher
Connect with Fannie on LinkedIn

Industry-first edge ML

Real-time predictive models deployed directly across browser and mobile experiences at national scale.

32% revenue lift

Real-time predictive models connected directly to commercial action.

Peer-reviewed AI research

Published in IEEE Access on generative synthetic data and privacy-preserving AI.

Recognized industry voice

University of Waterloo lecturer and keynote speaker at CDAO Canada.

Senior-practitioner model

Clients work directly with ex-Big 4 and tech-company veterans.

Execution with governance

Speed for founders, reliability for enterprise executives.

ROI-first roadmaps

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

You know the problem. These engagements solve it.

No discipline buckets to decode — each engagement is scoped, time-boxed, and anchored to an outcome you can point to.

2–3 weeks

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
6–8 weeks

Production ML & LLM Sprint

Build and deploy a production-grade predictive model or LLM workflow tied directly to a commercial KPI.

  • Production-grade model or workflow
  • Deployment with monitoring
  • KPI-tied measurement
Retainer

Fractional Head of AI & Data

Strategic leadership, team hiring playbooks, and architectural governance for teams that are scaling fast.

  • Strategic leadership on demand
  • Team hiring playbooks
  • Architectural governance

Proof points

Work that ties technical depth to commercial results.

Discuss a similar challenge

Type 2 Diabetes Risk Prediction

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.

Sales Funnel Dashboard

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.

Data Team Structure Playbook

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

Published work behind the advisory lens.

Fannie's public research and conference talks reinforce DataSix's focus on responsible, production-minded AI in highly regulated settings.

Research

Routine Blood Biomarkers Predict Five-Year Type 2 Diabetes Risk

Presented at the American Diabetes Association Scientific Sessions, connecting routine lab data to preventive health risk modeling.

Read abstract
Publication

Adapted GAN-Based Models for Synthetic Longitudinal Clinical Biomarker Data

Peer-reviewed IEEE Access publication on privacy-preserving synthetic clinical data for regulated healthcare AI.

View paper
Talk

Operationalizing ML & AI in Regulated Healthcare Environments

CDAO Canada keynote and panel discussion on building trust, scale, and impact with applied AI.

View talk post
Video

AI in Pharma: Real-World Applications

Future Pharma Marketing Conference talk on hybrid Temporal Convolutional Network and Transformer modeling for healthcare data.

Watch video

Testimonials

What clients say after the work ships.

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

Boutique by design, rigorous by background.

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.

For scale-ups

Rapid diagnostics, implementation sprints, and practical data products that show ROI quickly.

For enterprises

Governed architectures, executive roadmaps, and reliable delivery patterns that withstand scrutiny.

For founders

A direct senior team that can translate ambition into analytics, AI, and data engineering priorities.

For executives

Clear trade-offs, credible sequencing, and decision-ready artifacts without the consulting theatre.

Consultation

Put the highest-leverage move on the calendar.

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.

30-minute strategy call

Choose a time that works.

Eastern Time · Video call
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