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vitorhcsousa/README.md

Vitor Sousa

Data Scientist and Machine Learning Engineer with a profound focus on advancing the field of Deep Learning. Let's delve into my professional journey:

  • πŸŽ“ Master's in Information Systems Engineering and Management from U. Minho
  • πŸ’Ό Currently contributing as a Data Scientist at FARFETCH
  • πŸ“š Passionately dedicated to continuous learning and professional growth πŸš€
  • πŸ“– Enthusiastic reader, particularly in the realms of Deep Learning literature πŸ“š
  • ⚽ An avid football player and enthusiast ⚽

Areas of Expertise

My professional expertise revolves around key areas in Deep Learning:

  • πŸ€– Deep Learning: Exploring innovative architectures and applications for neural networks, employing advanced mathematical concepts including linear algebra, calculus, and optimization algorithms
  • πŸ“š Language Models (LLMs): Developing natural language understanding and generation systems using advanced algorithms and linguistic principles, often incorporating statistical methods, algebraic structures, and deep learning techniques.
  • πŸ“Š Data Science: Uncovering hidden patterns and trends through analysis and visualization techniques, supported by mathematical frameworks like algebra, calculus, and statistical inference.
  • πŸ“ˆ Machine Learning: Transforming data into actionable insights using algorithms, statistical models, and mathematical concepts such as algebra, calculus, and probability theory.
  • πŸ“Š Statistics: Extracting insights from data using mathematical methods such as probability theory, algebra, and calculus, and applying them to real-world scenarios to make informed decisions and predictions.

Tools in My Toolbox

python PyTorch keras tensorflow azure google-cloud github-actions mysql mongodb databricks apache-spark vespa mlflow git pypi R latex numpy pandas scikit-learn scipy airflow aws docker streamlit looker


summary streak

πŸ“« Interested in a chat? Feel free to reach out!

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