Saman Hamzeh

About Saman Hamzeh

Key skills: Credit Risk Modeling, Credit Risk Management, Origination Models, Portfolio Performance Models, R, Shiny, Machine Learning, Python, Regularization, Classification, Neural Networks, Decision Trees, Gradient Boosting, XGBoost, Random Forest, Linear Regression

Experience

1. Lead Data Scientist - SVP Risk Management

   Regions Bank

   Apr 2022 — Present · Denver, CO, US

   Led the Ascentium Data Data Science and Analytics team in providing critical support for managing credit risk within the Ascentium Capital portfolio, now integrated into Regions Bank\'s corporate banking department.Managed the development, documentation, validation, implementation, and testing of the first version of Ascentium\'s behavioral model (ABM v1.0) used to provide updated monthly risk ratings for the active portfolio.Oversaw the ongoing monitoring of the existing models, guaranteeing the strength and effectiveness of the risk predictions in loan origination and monthly risk updates.Managed a suite of five Linux servers serving as the backbone for Posit (formerly RStudio) Workbench and Connect instances, operating as the IT manager responsible for their upkeep and optimization.

Education

• University of Wisconsin-Milwaukee

  Doctor of Philosophy (Ph.D.), Operations Research

  2014 — 2018

• Amirkabir University of Technology - Tehran Polytechnic

  Bachelor's degree, Industrial Engineering

  2006 — 2010

• Sharif University of Technology

  Master's degree, Industrial Engineering

  2010 — 2012

Skills

• Supply Chain Management
• Random Forest
• Regression Analysis
• Boosting
• Project Management
• Statistical Modeling
• Power Bi
• C++
• Microsoft Azure
• Supervised Learning
• Unsupervised Learning
• Statistics
• Data Analysis
• Internet of Things
• Operations Management
• Search Trees
• Project Planning
• Machine Learning
• Simulations
• Python
• Sql
• Microsoft Project
• Deep Learning
• Matlab
• Sas Programming
• Visual Studio
• Microsoft Excel
• Operations Research
• R