a dedicated data scientist with a keen interest in extracting meaningful insights
from complex datasets. This README serves as an introduction to my proficiency in
data exploration, statistical analysis, and machine learning applications.

• Programming Languages: Proficient in Python (NumPy, Pandas, Scikit-Learn) and R

• Data Visualization: Skilled in Matplotlib, Seaborn, and Plotly. And others,
  such as D3.js and ggplot2

• Machine Learning: Experienced in regression, classification, clustering, and
  neural networks.

• Big Data Technologies: Knowledgeable in Hadoop and Spark.

• Databases: Proficient in SQL and MongoDB.

• Tools: Well-versed in Jupyter, Git, and Docker.

• Natural Language Processing (NLP): Exploring the intersection of data science
  and language to derive insights from unstructured data.

• Deep Learning Models: Investigating the latest advancements and applications of
  deep learning in various domains.

• Healthcare Analytics: Applying data science techniques to healthcare data for
  improved decision-making and patient outcomes.

I am open to engaging in collaborations, discussions, and learning opportunities. Please
feel free to reach out if you have inquiries, ideas, or simply wish to discuss data science!

Linkedin: https://www.linkedin.com/in/gustavosanchescosta/