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💫 About Me:

I am passionate and experienced in the field of Statistics. With an inquisitive mind and a genuine love for continuous learning in the world of statistical modeling, time series and econometrics.

Since the beginning of my career I have had a special affinity for Statistics and exceptional ability to understand and model complex data. His passion for the subject has led him to explore various avenues, including computational modeling. area, where he plunged headlong into the world of programming languages. languages.

My journey began with BASIC, a common starting point for many programming enthusiasts. common starting point for many programming enthusiasts. However, his curiosity and dedication pushed him to expand his repertoire to include an impressive range of languages, including C, Oxmetrics, R, Python, Julia and even SAS, RATS, Eviews, VBA, LaTeX, ViM, among others. My proficiency in these languages and software is testimony to my unwavering commitment to improving my skills and knowledge.

In addition, I have also ventured into markup languages, such as Markdown, and web development, mastering HTML and CSS to create content and interactive applications, all to effectively communicate complex ideas in the world of ideas in the world of Statistics and beyond.

I'm currently immersed in learning Arduino and Raspberry Pi, exploring the potential of these technologies to develop practical and interactive applications in data collection. This interdisciplinary and practical approach exemplifies my desire to bring Statistics into real life, making it accessible and understandable to a diverse to a diverse audience.

In this increasingly data-driven world, I would like to share my knowledge and skills, combining the rigor of Statistics with the creativity of programming and technology.

🌐 Socials:

LinkedIn

💻 Tech Stack:

R LaTeX GithubPages HTML5 Python Julia Markdown CSS3 Blender Gimp Inkscape Krita Matplotlib NumPy Pandas Plotly PyTorch scikit-learn Scipy Keras mlflow TensorFlow LINUX GIT

📊 GitHub Stats:



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Fabio's Projects

algorithms icon algorithms

Minimal examples of data structures and algorithms in Python

astsa icon astsa

R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R

didatico icon didatico

Livro das atividades para ensino da Estatística

inferencia icon inferencia

Livro de introdução à Inferência Estatística

paper-tips-and-tricks icon paper-tips-and-tricks

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

pyscript icon pyscript

PyScript es un framework que permite a los usuarios crear aplicaciones ricas de Python en el navegador utilizando la interfaz de HTML.

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