About Me
Learn more about my background and expertise
Rodrigo Monteiro Pereira
Data Engineer with over 5 years of experience, starting in C++ development (2018), moving to data (2021) and leading teams since 2022.
Expertise in PySpark, Airflow and Databricks for building scalable pipelines, big data processing and generating strategic insights for decision making.
With over 8 years of experience in data engineering and analytics, I specialize in building robust data pipelines, implementing machine learning solutions, and creating insightful visualizations that drive business decisions.
Professional Experience
My journey in the data world
Líder da equipe de dados
Liderança da equipe de dados, projetando e implementando soluções de dados escaláveis e estratégicas para uma empresa de investimentos privados.
Cientista de Dados
Desenvolvimento de modelos preditivos e soluções de análise de dados para otimizar estratégias de negócios e melhorar a experiência do cliente.
Desenvolvedor de Software (Estagiário)
Desenvolvimento de software para modelagem e simulação de reservatórios de petróleo utilizando C++, OpenGL e Qt.
Skills & Expertise
Technical skills and competencies
Data Engineering
Data Science
Interactive Data Visualizations
Explore different ways to visualize and analyze data through these interactive examples
Featured Projects
Showcasing some of my best work
Real-time Analytics Pipeline
Built a scalable real-time data pipeline using Apache Kafka, Spark Streaming, and Elasticsearch to process and analyze streaming data from IoT devices.
Customer Churn Prediction
Developed a machine learning model to predict customer churn with 92% accuracy, helping a SaaS company reduce churn by 15% through targeted interventions.
More Projects
Additional projects I've worked on
Created an NLP system to analyze customer feedback and support tickets, automatically categorizing issues and identifying sentiment trends.
Implemented a predictive analytics solution for inventory management, reducing stockouts by 25% and excess inventory by 20%.
Designed and implemented an automated data quality framework with Great Expectations, reducing data issues by 40% and improving trust in analytics.
Get in Touch
Let's discuss how I can help with your data challenges