Ton Poppe
Senior Data Scientist
Randstad, Netherlands
Summary
👤
Senior🎓
Top SchoolTon Poppe is a Senior Data Scientist with nine years of experience blending finance, IT and project delivery to build data-driven solutions in banking and corporate finance. He has a strong track record at ABN AMRO and large financial institutions, leading data mining/AI teams, automating financial reporting and driving ERP/EPM implementations that bridge business and technical stakeholders. Ton’s background in accounting, finance and computer science—culminating in an Advanced MSc in Artificial Intelligence and cum laude degrees—enables him to translate complex regulatory and control requirements into robust analytics and automated processes. He excels at process optimization, embedding automation, and offshoring execution while upskilling remote teams, demonstrated by setting up global AML data mining functions and training teams in Chennai. Comfortable as both hands-on analyst and project lead, he delivers pragmatic solutions across compliance, reporting and profitability modelling. Colleagues describe him as a self-starter who thrives on dynamic challenges and consistently converts domain knowledge into auditable, scalable systems.
8 years of coding experience
1 year of employment as a software developer
Advanced master MSc, Artificial Intelligence, Magna Cum Laude, Advanced master MSc, Artificial Intelligence, Magna Cum Laude at KU LeuvenMaster, Technische Bedrijfskunde, Master, Technische Bedrijfskunde at University of TwenteBachelor’s Degree, Computer Science, Cum laude, Bachelor’s Degree, Computer Science, Cum laude at Open Universiteit
English, Dutch
Github Skills (17)
python9
machine-learning9
gpu9
deep-learning9
numpy8
neural-network8
tensor7
acceleration7
tensorflow7
autograd7
gpu-acceleration7
web-application2
akka1
scala1
messaging1
Programming languages (2)
Github contributions (5)
tonyPo/GraphCase
Jul 2020 - Sep 2022
Contributions:25 commits, 62 pushes, 2 branches in 2 years 2 months
tonyPo/tigger_adj
Jul 2023 - May 2024
Code and datasets of AAAI'22 paper "TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs" . To be appear in AAAI-2022
Contributions:55 pushes in 10 months
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