Felipe Gomes
São Paulo,São Paulo
Summary
I am a dedicated Data Analyst with 4 years of professional experience, adept at leveraging a diverse set of tools to derive meaningful insights and drive data-driven decision-making. My expertise encompasses a broad range of technologies, including Python (Pandas, Matplotlib, etc), Power BI, SQL, Airflow, and Docker.
Overview
5
5
years of professional experience
Work History
Data Analyst
Grupo Marquise
05.2024 - Current
- - Developed Python scripts for data ingestion from multiple sources
- Improved data processing efficiency, saving 60 minutes per process
- Enhanced integration and accuracy. - Modeled data in the Data Warehouse using Dimensional Modeling
- Structured data for BI projects, improving reporting and analysis
- Facilitated better data organization. - Documented metadata and data lineage comprehensively
- Ensured transparency and compliance in data management
- Supported understanding and tracking of data flow. - Created BI dashboards for effective data visualization and descriptive analysis
- Enabled clear insights into key metrics and business trends
- Enhanced data-driven decision-making. - Developed scripts with Pandas and Matplotlib for in-depth business diagnostics
- Analyzed business data to identify trends and issues
- Supported strategic insights and decisions.
Business Intelligence Analyst
Indra
01.2021 - 04.2024
- - Developed Power BI reports with SQL queries to generate cost indicators for the company's fleet
- Enhanced visibility of key cost drivers
- Supported data-driven decision-making for cost management. - Created a Python script for database ingestion, automating data entry processes
- Resulted in a 3-hour efficiency gain in the billing department
- Improved overall operational efficiency. - Orchestrated data pipelines using Airflow to feed the Data Warehouse
- Ensured seamless and reliable data integration
- Supported timely and accurate reporting. - Developed a control system for electrical projects using Pandas and Matplotlib
- Cleared a backlog of 800 projects in one month
- Streamlined project management and tracking. - Created an operational productivity tracking system to monitor employee performance
- Identified top-performing employees and those needing improvement
- Enabled targeted performance enhancement initiatives.
Business Intelligence Analyst
Translog Transportes E Logística
03.2019 - 12.2020
- - Developed Python scripts for data ingestion from multiple sources
- Improved data processing efficiency, saving 60 minutes per process
- Enhanced integration and accuracy. - Modeled data in the Data Warehouse using Dimensional Modeling
- Structured data for BI projects, improving reporting and analysis
- Facilitated better data organization. - Documented metadata and data lineage comprehensively
- Ensured transparency and compliance in data management
- Supported understanding and tracking of data flow. - Created BI dashboards for effective data visualization and descriptive analysis
- Enabled clear insights into key metrics and business trends
- Enhanced data-driven decision-making. - Developed scripts with Pandas and Matplotlib for in-depth business diagnostics
- Analyzed business data to identify trends and issues
- Supported strategic insights and decisions.
Education
MBA - Data Science
Universidade De Fortaleza
Fortaleza12.2025
Bachelor of Science -
Universidade De Fortaleza
Fortaleza01.2020
Skills
- Statistics
- Data Lakes
- Data Warehouse Architecture
- Business Intelligence (BI)
- Data Analysis
- Apache Airflow
- SQL
- Power BI
- Python
- Docker
- Storytelling
- Data Visualization
Languages
English
Upper intermediate (B2)
Timeline
Data Analyst
Grupo Marquise
05.2024 - Current
Business Intelligence Analyst
Indra
01.2021 - 04.2024
Business Intelligence Analyst
Translog Transportes E Logística
03.2019 - 12.2020
MBA - Data Science
Universidade De Fortaleza
Bachelor of Science -
Universidade De Fortaleza
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