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Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

Home Page: https://fraud-detection-handbook.github.io/fraud-detection-handbook/Foreword.html

License: Other

Shell 0.01% JavaScript 0.01% Python 0.79% CSS 0.01% TeX 0.49% Jupyter Notebook 98.71%

fraud-detection-handbook's Introduction

https://www.linkedin.com/in/mfarmanbar/

Hi there ๐Ÿ‘‹, my name is Mojtaba Farmanbar

๐Ÿง‘โ€๐Ÿ’ป About Me :

  • I am a data scientist with years of experience in financial services. I have worked in different domains, such as marketing, financial risk, consumer lending, people analytics, and financial crime and fraud.
  • Currently, I am working in customer engagement & commerce domain at KNAB.
  • I am passionate about conducting research and connecting it to business.

๐ŸŽ“ Education:

  • I got my PhD in computational physics, with a focus on electronic properties of 2d(dimensional) materials, like graphene.

Publications:

  • You can find the list of publications from physics to machine learning, check here.

๐Ÿ“ Blogs:

  • Conformalize a time series model using Julia, check here
  • Semantic search in risk management using NLP pipeline, check here

fraud-detection-handbook's People

Contributors

patrickxchong avatar yannael avatar

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