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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.
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As 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.
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Automate the deployment of your Machine Learning models in the cloud.
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A 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.