Explainability in ML
and credit decisioning webinar

How to overcome barriers in ML adoption in credit decisioning

15 June | 10:00 - 10:25 CET

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About The Event

J O I N  O U R  F R E E  W E B I N A R

In this webinar, we will provide you with an introduction to ML Explainability, why Explainability is so important and how it could help you to improve your credit decisions.

• Part 1: Why ML models will become the new normal
• Part 2: Why Explainability is the key to unlocking the ML potential
• Part 3: 5 tips for implementing ML with Explainability

We developed this webinar, “Explainability: ML and AI in credit decisioning”, to help businesses understand the value that ML can deliver to decisioning and how it can improve existing performance KPIs.

Find out how to ingest, map and deploy ML models without the need to invest heavily in data scientists and developers.


15 June 2022
10:00 - 10:25

10:00 am
Explainability - ML and AI in credit decisioning
Leandro Guerra
Head of Data Science and Analytical Platform EMEA & APAC, Experian
Register your interest in the webinar

Keynote Speakers

Leandro Guerra
Head of Data Science and Analytical Platform EMEA & APAC, Experian
Leandro Guerra

Leandro Guerra Biography

Leandro Guerra is the Head of Data Science and Analytics Platforms for Experian EMEA & APAC. He has over 11 years of experience with a deep interest and know-how in Machine Learning and AI model development.

His recent experiences includes:
  • Development of ML models for risk management, marketing, fraud prevention, HR, healthcare and retail
  • Development and implementation of overall Data Science/ML business goals
  • Management of Data Consultancy Projects applied to credit assessment, marketing, fraud prevention, insurance, HR analytics, healthcare and CRM
  • Development of ML explainability frameworks
Leandro holds a BSc degree in Electrical and Electronic Engineering from the State University of Londrina and a Data Science Specialisation from Johns Hopkins University..

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