Louise Whitaker

S

Data Scientist, Wharf Systems - Python · graph analytics · rules engines

Wharf Systems
London, UK · GMT (UTC+0)
1+ years experience
University of Bristol
English
Messaging unavailable

Overview

Based in London. I work on fraud detection at Wharf Systems. Caught $6 million of fraud in the first year of the new models. Most at home with Python and rules engines. Learning to sail.

Good reasons to reach out
  • Speaking or podcast invitations
  • Questions about fraud detection
Please don't message about
  • Courses and coaching offers
  • Unpaid work or spec projects
  • Survey or panel invitations

Replies between meetings, usually same day

Skills
graph analyticsrules enginesanomaly detectionPython

Experience

  1. Data Scientist
    Oct 2025 - Present
    Wharf Systems · 1 yr · Contract · London, UK
    • Cut false positives on payment blocks by 38%.
    • Caught $9 million of fraud in the first year of the new models.

Projects

Fraud detection benchmark
2024

Reproducible benchmarks comparing anomaly detection and graph analytics on real workloads.

References

No references yet.

Education

  1. University of Bristol
    BSc, Statistics
    2021 - 2024

Details

Compensation expectations
What they are targeting for their next role.
Visible to connections
Direct contact details
Direct email and a scheduling link.
Visible to connections

Trusted Partners

Sponsored