Conceptual Variable Design for Scorecards

A Standardized Methodology for the Model-Building Process
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Paru le : 2025-07-08

Embark on a journey through the intricate landscape of predictive modeling, where the fusion of conceptual clarity and robust statistical techniques creates powerful tools for decision-making. This book distills years of experience into a standardized methodology that empowers professionals across i...
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Éditeur

Collection
n.c

Parution
2025-07-08

Pages
720 pages

EAN papier
9798868814204

Auteur(s) du livre


Saul Rodrigo Alvarez Zapiain brings over two decades of diverse professional experience to his role as a principal analytical consultant at SAS. His journey began with a bachelor's degree in industrial biochemical engineering, followed by a master's degree specializing in mathematical modeling of cellular organisms. Having started his career in industries such as pharma, telco, and market research, Saul transitioned to analytics, and while working at Santander, he discovered data mining, sparking a continuous quest for knowledge in analytical domains. Around 16 years ago, while working at Santander, Saul discovered data mining, sparking a continuous quest for knowledge in analytical domains. Over the years, he honed his skills through self-education and numerous SAS courses, earning over 10 certifications, including Certified Data Scientist and Certified Professional in AI, Machine Learning, and Data Curation. Delving into specialized statistical techniques, he developed a deep understanding of the modeling process. It wasn't until Saul was invited to present his expertise at a conference organized by the Customer Success division that he fully recognized his niche—building models. This realization, coupled with his wealth of real-life experiences, shaped his approach to analytics and problem-solving.

Caractéristiques détaillées - droits

EAN PDF
9798868814211
Prix
79,25 €
Nombre pages copiables
7
Nombre pages imprimables
72
Taille du fichier
106281 Ko
EAN EPUB
9798868814211
Prix
79,25 €
Nombre pages copiables
7
Nombre pages imprimables
72
Taille du fichier
36639 Ko

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