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How to Create a Credit Risk Model Step-by-Step with Python
A detailed guide to building risk models using Python and common libraries.
Read MoreAs a data scientist with over 10 years of experience, I specialize in transforming raw data into actionable business strategies. I have developed scalable solutions using Python, R, SQL, AWS, GCP, and MLOps practices. I am passionate about driving measurable results through analytical thinking and cutting-edge technology.
Design and implementation of ML models for credit risk, fraud, segmentation, and churn.
CI/CD pipelines for model deployment using Docker, Git, AWS, and Google Cloud.
Strategic advice to adopt advanced analytics and AI as a competitive advantage.
Customized workshops on Python, data science, financial modeling, and cloud.
Data cleaning, exploratory analysis, and interactive dashboards for informed decisions.
A detailed guide to building risk models using Python and common libraries.
Read MoreAutomate the deployment of your Machine Learning models in the cloud.
Read MoreA reflection on the relevance of statistical fundamentals in the era of generative AI.
Read MoreI'm open to collaborations, inquiries, or just a chat about data.