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corzxv/README.md

Felipe Cordeiro

Data Analyst and Statistics undergraduate at the University of Brasília, focused on Data Science, Machine Learning and Statistical Modeling.

I have professional experience working with data across financial services, payments and industry, using Python, SQL and analytics to solve business problems.

My main interests are machine learning, statistical modeling, time series, NLP and applied data science.

Tech stack

  • Languages: Python, SQL, R
  • Data Science: pandas, scikit-learn, statistical modeling, machine learning
  • Statistics: time series, inference, stochastic processes, forecasting
  • Data: BigQuery, dbt
  • Visualization: Power BI, matplotlib
  • Tools: Git, GitHub, FastAPI

Selected projects

Current focus

I am currently expanding my knowledge of analytics engineering, data orchestration and production-oriented data workflows.

Contact

Pinned Loading

  1. brazilian-news-classifier brazilian-news-classifier Public

    Brazilian news category classifier using TF-IDF, Logistic Regression and FastAPI.

    Jupyter Notebook

  2. dbt-project-jaffle-shop dbt-project-jaffle-shop Public

    dbt Fundamentals project with staging and mart models, data tests, documentation and source freshness in BigQuery.

  3. brasilia-temperature-sarima brasilia-temperature-sarima Public

    SARIMA modeling and forecasting of Brasília's monthly mean temperature using INMET data.

    TeX

  4. gamblers-ruin-models gamblers-ruin-models Public

    Gambler's Ruin study using Markov chains, Monte Carlo simulation and a financial data application in R.

  5. amapa-demographic-analysis amapa-demographic-analysis Public

    Demographic analysis of Amapá from 2000 to 2024 using R, DATASUS, IBGE and LaTeX.

    HTML