Skip to content
View feliperamospinheiro's full-sized avatar

Highlights

  • Pro

Block or report feliperamospinheiro

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Hey 👋 Nice to meet you!

I'm Felipe Pinheiro, a Data Analyst from Rio de Janeiro, Brazil, passionate about transforming data into actionable insights. Skilled in Business Intelligence, SQL, and Python to drive impactful business decisions.

About Me:

  • 🤓 Graduated in Business Administration at Federal University of Rio de Janeiro (UFRJ).
  • 📊 I have hands-on experience with data visualization using Power BI, Tableau, Looker, Matplotlib and Seaborn.
  • 🚀 I’m passionate about leveraging data to drive business decisions and create impactful solutions.
  • 🎯 Open to collaborating on data analytics projects and networking with fellow data enthusiasts!
  • 🌱 Check out my DataCamp Portfolio here!

Techs and Tools:

Python Pandas Numpy Matplotlib Seaborn Scikit-Learn Statsmodels SciPy Pingouin PostgreSQL Snowflake Power BI Tableau Looker Studio Excel Git

Projects:

  • 🌎 Air Quality in São Paulo: Analyzing air quality data in São Paulo using Python and data visualization techniques.
  • 🔨 Catch-The-Diglett: A fun Pokémon-themed "whac-a-mole" game where you test your reflexes by clicking on the appearing Digletts.
  • 🛰️ 100cep Milhas: A dashboard for the mileage company "100cep milhas" that consolidates the general overview, performance, customers, and pending issues.

Contact me:

Gmail LinkedIn

Popular repositories Loading

  1. feliperamospinheiro feliperamospinheiro Public

    Config files for my GitHub profile.

  2. air-quality-analysis air-quality-analysis Public

    Python