AskBosco · ML engineering · Since 2024

MMMplatformandMLpipelinesfor AskBosco

Architected about 95% of the core marketing mix modelling system, with automated pipelines on Vertex AI.

~95%Of the core MMM system architected

01 / 03

Data in

Marketing and sales data land in the platform on a schedule.

02 / 03

Train and deploy

Vertex AI pipelines retrain the models and deploy them, the same way every time.

03 / 03

Watch it run

Monitoring keeps production models reliable and reproducible.

The project

Client
AskBosco
Role
Data Scientist, AskBosco
When
Since 2024
Discipline
ML engineering
Tools
  • Vertex AI
  • GCP
  • Python
  • Git
  • CI

The situation

Models only pay for themselves if they keep running: retrained, deployed and watched without someone doing it by hand.

What I built

  • About 95% of the core MMM system inside AskBosco's analytics platform
  • Automated ML pipelines in Vertex AI for training, deployment and monitoring
  • Git-based version control for continuous development and integration

What changed

Production models that are reliable and reproducible, retrained and monitored automatically.

  • ~95%Of the core MMM system architected
Next projectAI image scoringfor cottages.com, at FRAME

Hiring for marketing measurement or customer ML in the UK?

Eligible to work in the UK, no sponsorship needed. Based in London.

The CV is a two-page PDF, rebuilt from this site whenever it changes.

Jihar Gifari · London · jigifari@gmail.com · +44 7985 687426