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Example πŸ““ Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Home Page: https://sagemaker-examples.readthedocs.io

License: Apache License 2.0

Jupyter Notebook 90.83% HTML 0.16% Python 7.70% R 0.03% Shell 0.23% Dockerfile 0.13% Java 0.01% C 0.01% Roff 0.90% Makefile 0.01% JavaScript 0.01% Batchfile 0.01% jq 0.01%

amazon-sagemaker-examples's Introduction

Hi there, I'm Federico Ricciardelli πŸ‘‹

About Me

Welcome to my GitHub profile! I am a passionate data scientist and economist with a profound interest in the intricate world of modeling and their real-world applications. With a degree in Quantitative Finance, I have dedicated several years of my career to the insurance sector, where I leverage my expertise to uncover insights and drive strategic decisions.

🌱 Lifelong Learner

One of my core beliefs is the importance of continuous learning. My curiosity drives me to constantly seek out new knowledge and skills. Whether it’s a new programming language, an emerging trend in data science, or the latest advancements in financial theory, I am always eager to expand my horizons. This perpetual quest for knowledge keeps me motivated and ensures that I am always at the forefront of my field.

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πŸ’Ό Professional Experience

Over the years, I have gained extensive experience in the insurance industry, a sector that constantly challenges me to apply my analytical skills in innovative ways. My role involves dissecting large datasets to identify patterns, assess risks, and provide actionable recommendations.

πŸ“š Education

I hold a degree in Quantitative Finance, a field that perfectly marries my love for mathematics and finance. My academic journey has equipped me with the skills to analyze complex financial data and develop quantitative models that predict market trends and inform investment strategies.

πŸ“« Connect with Me

I am always open to connecting with like-minded professionals and exploring new opportunities. Feel free to reach out to me through the following channels:

Github Stack Overflow

amazon-sagemaker-examples's People

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