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caiocasagrande/README.md

Caio Casagrande 👋🏼

LinkedIn Data Portfolio Data Portfolio

About Me

Data Scientist with over 3 years of experience in data, specializing in time series forecasting, causal inference and spatial analysis using Python.

Professional Experiences

  • Data Scientist at Minerva Foods, focusing on time series.
  • Research Data Scientist for a CNPq project.
  • Market Intelligence Analyst at Ipiranga S.A.

Academic Background

  • Master's degree in Applied Economics with a focus on time series and spatial econometrics. The dissertation analyzes how Brazilian soybean exports relate to macroeconomic variables, providing insights into the economic impacts of global changes through a multivariate time series methodology.

  • Bachelor's degree in Agricultural Engineering with a focus on agribusiness. For my final project, I used R to create price forecasting models for key agricultural commodities using the ARIMA methodology, published in the Journal of Economics and Agribusiness.

Technical Skills


  • Programming Languages: Python, R, SQL
  • Visualization: Power BI
  • Cloud: Databricks, AWS
  • Professional Skills: Advanced English, Microsoft Office

Pinned Loading

  1. arima_revenue arima_revenue Public

    Implementation and comparison of ARIMA models to forecast Olist revenue for the next 14 days.

    Jupyter Notebook 1 1

  2. customer_behavior customer_behavior Public

    Beyond "You May Also Like": Deconstructing Consumer Choices with Data Science

    Jupyter Notebook

  3. mkt_campaign_clustering mkt_campaign_clustering Public

    Projeto de clusterização de clientes com base em campanhas de marketing.

    Jupyter Notebook 1

  4. instyle instyle Public

    A loja de moda InStyle é uma grande loja de roupas, mas enfrenta desafios significativos em relação à experiência do cliente. Em vista disso, a InStyle montou uma equipe com a tarefa de treinar um …

    Jupyter Notebook 1