Skip to content
View DevCarvalhal's full-sized avatar
🎯
Disponível para novos projetos
🎯
Disponível para novos projetos
1 follower · 2 following

Block or report DevCarvalhal

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
DevCarvalhal/README.md

Hi, I'm Vitor Carvalhal

Based in Brazil | Open to remote opportunities

Data Analyst focused on Fraud & Risk Analytics, building data-driven solutions to detect suspicious behavior, create risk scoring models and support decision-making in fintech-like environments.

Core Skills

  • SQL (PostgreSQL)
  • Python (Pandas, NumPy)
  • Power BI & Tableau
  • Fraud & Risk Analytics
  • Data Visualization
  • Git & GitHub

Featured Projects

Fraud Detection Rules Engine (SQL)

SQL-based fraud detection system simulating real-world fintech operations, including rule creation, risk scoring and investigation prioritization.

🔗 https://github.com/DevCarvalhal/fraud-rules-engine-sql

Fraud Detection Analytics Case

End-to-end fraud analytics project with data generation, SQL modeling, fraud rules, risk scoring and dashboards.

🔗 https://github.com/DevCarvalhal/fraud-detection-analytics-case

Fraud Detection Analysis (SQL + Python)

Detection of suspicious transactions using SQL and Python with behavioral analysis and risk insights.

🔗 https://github.com/DevCarvalhal/fraud-detection-sql-python

Chargeback Risk Analysis

Analysis of chargeback patterns focusing on high-risk customers and financial impact.

🔗 https://github.com/DevCarvalhal/chargeback-risk-analysis

Key Competencies

  • Transaction behavior analysis
  • Fraud detection and pattern recognition
  • Risk scoring model development
  • Advanced SQL (CTEs, aggregations, temporal analysis)
  • Data storytelling and dashboards
  • Python for data analysis

Current Focus

  • Fraud investigation using SQL
  • Risk scoring models
  • Business-driven data projects

Contact

Pinned Loading

  1. chargeback-risk-analysis chargeback-risk-analysis Public

    Chargeback risk analysis project using SQL and Python to identify high-risk customers, estimate financial losses and support fraud prevention.

  2. fraud-detection-sql-python fraud-detection-sql-python Public

    Fraud detection project using SQL and Python to identify suspicious transactions, analyze risk patterns and generate business insights.

    Python

  3. fraud-kpi-dashboard fraud-kpi-dashboard Public

    Fraud KPI dashboard project using Python and SQL to monitor fraud rate, transaction volume and financial impact.

    Python

  4. fraud-detection-analytics-case fraud-detection-analytics-case Public

    Fraud Detection Analytics Project using Python, SQL, Power BI and Tableau. End-to-end case simulating a fintech fraud analyst workflow.

    Python 1

  5. fraud-investigation-sql-case fraud-investigation-sql-case Public

    SQL project simulating a fraud detection rules engine with risk scoring and case prioritization.

  6. fraud-rules-engine-sql fraud-rules-engine-sql Public

    SQL project simulating a fraud detection rules engine with risk scoring and case prioritization.