About Me

Economist and Data Scientist 📊🚀

With a solid foundation in Economics and a passion for data, I transform information into strategic insights to drive businesses forward. My experience spans various areas of data science, from collection and processing to analysis and visualization, always focused on generating value and supporting decision-making.

Data Skills:

• Extraction: Proficiency in web scraping and API techniques for efficient data collection from diverse sources.
• Manipulation: Expertise in data processing, cleaning, and transformation (data wrangling) using Python (pandas) and R (tidyverse), with a focus on large public databases (RAIS, CAGED, INMET-BDMEP, CNPJ, DATASUS, SNIS).
• Modeling: Creation of dimensional models for BI and relational database modeling to ensure data integrity and organization.
• Visualization: Creation of impactful charts and informative maps using Python (matplotlib, seaborn), R (ggplot2), QGIS, and kepler.gl, as well as interactive dashboards in Power BI with DAX.
• Advanced Excel: Extensive knowledge of Excel for ad hoc analysis and quick visualizations.

IT Skills:

• Programming: Proficiency in Python (OOP, functional) and experience developing web applications with Flask and Shiny (R).
• Web: Knowledge of HTML, CSS, and JavaScript for customization and integration of solutions.
• Infrastructure: Familiarity with Docker for creating development and deployment environments, as well as experience with Linux systems (Debian/Ubuntu).
• ETL/ELT Pipelines: Development of custom pipelines in Python for automating data processes.
• Databases: PostgreSQL administration and knowledge of data modeling to ensure the efficiency and performance of solutions.
• Website Creation: Use of Hugo for developing static websites to present results and portfolios.

Communication:

• Technical Reports and Texts: Ability to communicate results clearly and concisely, both to technical and non-technical audiences.

Seeking new opportunities to apply my skills and knowledge in challenging and innovative projects.

Let’s connect and explore how I can add value to your organization! 🤝

Connect with me: [GitHub] [LinkedIn]

My ORCID: [0000-0002-8086-3636]

My CV Lattes: http://lattes.cnpq.br/4839987313912355

Professional Experience

Pezco Economics
São Paulo, Brazil

• Data Scientist (february 2022 - present)

  • Develop and implement data processing and analysis routines for comprehensive reports and strategic recommendations.
  • Design and maintain interactive dashboards for enhanced data visualization.
  • Create spatial data analyses and produce informative maps for infrastructure sector projects.
  • Contribute to in-depth studies and geospatial analyses across various sectors.
  • Disseminate insights and findings through publications, maps, and social media platforms.
  • Support data collection, processing, analysis, and visualization, including geospatial data, across various projects.

Instituto de Economia Agrícola (IEA)
São Paulo, Brazil

• Technical Advisor (february 2018 - january 2022)

  • Developed and optimized data processing and analysis routines for technical reports and policy recommendations.
  • Created and managed interactive dashboards for effective data visualization.
  • Collaborated on research projects to enhance the quality of Institute publications.
  • Contributed to studies aiding decision-making in the agricultural sector.
  • Published technical notes and organized knowledge-sharing events.
  • Assisted in the development of comprehensive agricultural sector technical reports.

• Intern (february 2016 - january 2018)

  • Collected and processed agricultural statistics from Institute databases.
  • Analyzed and visualized data related to São Paulo’s agricultural products.
  • Assisted in organizing events to disseminate research and promote knowledge exchange.

Education

• Specialization in Data Science and Analytics (november 2023 - may 2025 ongoing)

• Bachelor’s degree in Economics (2015 - 2018)

Courses & Certifications:

Skills/Tools