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Dutrabr/README.md

João Victor Dutra Cavalcanti — Data Analytics / BI Portfolio

I’m a data professional with a risk/compliance background transitioning into Data Analytics / BI. I build end-to-end analytical solutions—from data extraction and automation to dashboards and decision-ready KPIs—always with a strong focus on data quality and documentation.

Featured Projects

1) TripleTen Data Analytics Projects

Hands-on projects covering Python, SQL, statistics, and data visualization (EDA, cohorts, hypothesis testing, and business insights).

2) Vehicle Data Dashboard (Data App / BI)

A dashboard-oriented project focused on turning raw datasets into actionable indicators and interactive views.

3) Braille / Accessibility Docs Automation

Automation and document-structuring work focused on accessibility and consistent outputs.

What I’m good at

  • SQL for data extraction, segmentation, and KPI definition
  • Python (pandas) for cleaning, validation, automation, and exploratory analysis
  • BI & Dashboards (Power BI/Tableau concepts) for executive reporting and trend analysis
  • Data Quality & Governance: documentation, traceability, reproducibility, and QA checks
  • Communication: translating business needs into metrics and technical requirements

Contact

Pinned Loading

  1. analise-dado analise-dado Public

  2. Dutrabr Dutrabr Public

    Config files for my GitHub profile.

  3. painel-veiculos-sinesp painel-veiculos-sinesp Public

    Streamlit app for data exploration and KPI monitoring on vehicle-related datasets, with automated cleaning and insights.

    Python

  4. portfolio portfolio Public

    Personal portfolio showcasing SQL, Python analytics/automation, and BI dashboard projects.

  5. projeto-braille projeto-braille Public

    Automation project focused on generating structured, accessible documents (accessibility-first workflow).

    Python

  6. tripleten-projects tripleten-projects Public

    Data analytics projects (EDA, statistics, SQL, and Python) completed during TripleTen bootcamp.

    HTML