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João Victor de Mesquita

@joovictordemesquita

Message

I build scalable data platforms and AI products that automate decisions.

Brazil

Message

At Nubank, I build reusable data foundations and AI-powered products for risk and transaction monitoring across Mexico and Colombia. My work reduced transactional data access time by 97%, expanded anomaly detection to 1.79 million customers, and supported real case reviews through an auditable Case Review platform.

I've also delivered analytics, automation, and data engineering at Santander Brasil, Ball Corporation, and Embraer—reducing compliance analysis time, operational effort, and fleet troubleshooting through Python, Spark, ETL pipelines, machine learning, and enterprise applications.

Experience

Work history, roles, and key accomplishments

Current

Data Analytics Specialist

Current

Nubank

Aug 2023 - Present (3 years 1 month)

Architected reusable transactional datasets and ETL foundations with Scala, Spark and Databricks, reducing data access time by 97%. Led AI-powered metrics, experimentation and automation initiatives, reducing daily validation effort by 83%.

Scala Spark Databricks ETL Python React PostgreSQL AI Anomaly Detection Cursor Claude Jira

Analytics Engineer

Santander Brasil

May 2022 - Jul 2023 (1 year 2 months)

Architected a scalable PySpark analytics framework for regulatory data processes, reducing pending customer regularization by 60% YoY. Automated 15 compliance workflows using Python/Selenium, reducing case analysis time by 30%.

PySpark Python Selenium Analytics Dashboarding Looker Tableau Power BI

Software Engineer

Ball Corporation

Dec 2020 - Apr 2022 (1 year 4 months)

Led SAP automation initiatives, reducing order creation time by 60% and manual modifications by 40%. Developed enterprise web applications supporting 200+ users across South America using Python, Flask, SQL Server and JavaScript.

SAP Python Flask SQL Server JavaScript CI CD Testing Automation

Data Analytics Intern

Embraer

Feb 2019 - Dec 2020 (1 year 10 months)

Engineered a machine learning text classification solution using Linear SVM and Scikit-learn, reducing manual analysis costs by 90%. Architected enterprise ETL pipelines integrating multiple operational systems, reducing manual processing by 70%.