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carolfazani/README.md

✨ To see my latest portfolio, visit the Restaurant_Data project. ✨

I'm a Data Analyst with a Bachelor's degree in Public Policy Management from USP - Universidade de São Paulo. I specialized in data-driven public policies and received three research scholarships in this area. I have a proven ability to identify and solve problems autonomously, always focusing on results.

Skills

💻 Languages and Tools:

  • Python, R, SQL, DAX, PySpark
  • Matplotlib, Seaborn, Pandas, NumPy

⚙️ Databases:

  • PostgreSQL, MariaDB, MySQL, SQL Server, DBeaver

☁️ Cloud Computing and Data Pipelines:

  • Google Cloud Platform (Functions, BigQuery, Secret Manager, Cloud Storage, Pub/Sub, Cloud Scheduler)
  • AWS (Glue, Athena, Lambda, S3, ECS, Batch)
  • Databricks

📊 Data Visualization:

  • Power BI, Apache Superset

🔄 Version Control:

  • Git (GitHub, Bitbucket)

🔨 Project Management Tools:

  • Asana, Trello, ClickUp, Jira, Confluence, Notion, Miro

🏫 Data Collection:

  • APIs, SSH connections, web scraping

🎲 Analysis and Communication:

  • Defining KPIs and indicators
  • Probability and Statistics
  • Storytelling

Let's Connect 👩

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  1. Restaurant-Data Restaurant-Data Public

    Automating Data Pipelines with GCP: From Data Extraction to Strategic Insights

    Python

  2. orcamento_sp orcamento_sp Public

    This project involves extracting, cleaning, and analyzing budgetary balance data from São Paulo municipality using Pandas, Numpy, and Matplotlib.

    Jupyter Notebook 1

  3. EleicoesTSE EleicoesTSE Public

    This project analyzes electoral data using Python, SQL, and Microsoft Power BI. It involves downloading election results from Basededados using Python and performing data transformation and analysi…

  4. tiktokdata tiktokdata Public

    This project automates the extraction of TikTok video data using Selenium for web automation. It fetches video details, cleans the data, and stores it in a MySQL database.

    Python 1

  5. locale locale Public

    This project generates JSON files containing data on Brazilian locations and countries worldwide.

    Python

  6. TrilhaDataScienceUNIP TrilhaDataScienceUNIP Public

    Repository with the materials from the classes I taught for the Data Science Track at UNIP.

    Jupyter Notebook 1