Curriculum Vitae Data Scientist in Brazil Rio de Janeiro – Free Word Template Download with AI

Personal Information

Name: João Silva
Email: [email protected]
Phone: +55 21 98765-4321
Location: Rio de Janeiro, Brazil

Professional Summary

A dedicated and innovative Data Scientist with over five years of experience in leveraging data-driven solutions to address complex business challenges. Based in Rio de Janeiro, Brazil, I specialize in applying advanced analytical techniques, machine learning models, and big data technologies to optimize operations and drive strategic decisions. My work has focused on industries such as finance, e-commerce, and urban development—sectors that are critical to the dynamic economy of Rio de Janeiro. As a local professional with a deep understanding of the Brazilian market, I combine technical expertise with cultural awareness to deliver impactful results. I am passionate about using data science to contribute to sustainable growth in Brazil and have a proven track record of translating raw data into actionable insights. This Curriculum Vitae outlines my academic background, professional experience, and technical skills as a Data Scientist in Brazil Rio de Janeiro.

Education

Master of Science in Computer Science
Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
Graduated: June 2018
Thesis: "Machine Learning Applications in Urban Mobility Analysis"

Bachelor of Science in Mathematics
Universidade Estadual do Rio de Janeiro (UERJ), Rio de Janeiro, Brazil
Graduated: December 2015

Professional Experience

Data Scientist

Banco do Brasil S.A., Rio de Janeiro, Brazil
January 2020 – Present
- Developed predictive models to assess credit risk and optimize loan approval processes, reducing default rates by 15% in 2022.
- Analyzed customer behavior data to design personalized marketing campaigns, increasing customer engagement by 30%.
- Collaborated with cross-functional teams to integrate machine learning models into the bank's operational systems, enhancing efficiency in financial transactions.

Data Analyst

Magazine Luiza, Rio de Janeiro, Brazil
March 2017 – December 2019
- Built data pipelines to process and analyze sales data from over 5,000 stores nationwide, supporting inventory management decisions.
- Created dashboards using Tableau to visualize key performance indicators (KPIs), enabling real-time decision-making for store managers.
- Conducted A/B testing on pricing strategies, resulting in a 12% increase in online sales during the 2018 holiday season.

Research Intern

Instituto Nacional de Pesquisas Espaciais (INPE), Rio de Janeiro, Brazil
June 2015 – February 2017
- Analyzed satellite data to monitor deforestation patterns in the Amazon rainforest, contributing to environmental policy recommendations.
- Developed algorithms for image processing and classification, improving the accuracy of land-use analysis by 20%.

Technical Skills

• Programming Languages: Python, R, SQL, Java
• Data Analysis Tools: Pandas, NumPy, Tableau, Power BI
• Machine Learning Frameworks: Scikit-learn, TensorFlow, PyTorch
• Big Data Technologies: Hadoop, Spark
• Data Visualization: Matplotlib, Seaborn, D3.js
• Databases: MySQL, PostgreSQL, MongoDB

Projects and Portfolio

Sustainable Urban Mobility Project (Rio de Janeiro)
Developed a machine learning model to predict traffic congestion in Rio de Janeiro using GPS data from public transportation. The project was presented at the 2021 Brazilian Data Science Conference and is now being integrated into the city’s smart mobility initiatives.

Customer Segmentation for E-commerce
Created a clustering algorithm to segment customers based on purchasing behavior, enabling targeted marketing strategies. The project was recognized as a top innovation by the Rio de Janeiro Tech Hub in 2020.

Open Source Contributions
Actively contributes to Python libraries such as scikit-learn and pandas, with several pull requests accepted by the community. Hosts a GitHub repository with tutorials on data science applications in Brazil’s context.

Certifications and Training

Google Data Analytics Certificate
Google, 2021

IBM Data Science Professional Certificate
IBM, 2019

Certified ScrumMaster (CSM)
Scrum Alliance, 2020

Advanced Python for Data Science (Coursera)
University of Michigan, 2018

Languages

• Portuguese (Native)
• English (Fluent)
• Spanish (Intermediate)

Additional Information

Professional Affiliations:
- Member of the Brazilian Association of Data Scientists (ABCD)
- Volunteer at Rio de Janeiro Tech Meetups, sharing insights on data-driven innovation.

Hobbies: Public speaking, hiking in the mountains near Rio de Janeiro, and mentoring young professionals in STEM fields.