Profesisonal Experience

💡Data Analyst | Business Intelligence

AMcom (Consultant at ENGIE Brasil)

• Participation in the implementation of Business Intelligence projects aimed at Backoffice related to energy production and administration.
• Guidance users to develop and implement key performance indicators (KPIs) and interpret data to support management decisions.
• Create and develop queries and data views for ad-hoc, recurring, and troubleshooting requests and projects, as well as ongoing reporting, leveraging SQL, Redshift, thereby providing insightful reporting to help teams in the decision making.
• Build BI dashboards (Power BI) and create supporting material.
• Run data analyses, Extraction and manipulation of data with PL/SQL (Oracle).
• Automate processes and tasks with Power Automate.
• Creating Reports with Microsoft Report Builder.

📊 Data Analyst | Business Intelligence

Qualirede (Healthcare Management)

• Participated in the implementation and elaboration of projects in the health area with a managerial and analytical purpose. Which directly or indirectly impacted more than 700 thousand lives in several cities in Brazil.
• Requirements gathering, implementation, and project documentation preparation.
• Assisted in the creation of a BOOK of Indicators.
• Application of self-service / ad-hoc training in Power BI tool and dashboard analysis for internal areas and external customers.
• Creation of dashboards (Power BI).
• Extraction and manipulation of data with PL/SQL (Oracle).
• Performing ETL (Extract, Transform, and Load) with Pentaho Data Integration(PDI).
• Data Analysis with R.

📖 Education

AEC | LEA.DQ Artificial Intelligence and Machine Learning          Sep 2022 – Present
Collége LaSalle, Montreal/QC
Bachelor’s Degree in Economic Sciences                                                 Fev 2014 – Dez 2019
Federal University of Santa Catarina – UFSC, Brazil
Technician Diploma in Systems Development                                      Fev 2010 - Dez 2011
SENAI - National Service for Industrial Apprenticeship, Brazil

🛠️ Skills & Tools

  • Power BI
  • SQL
  • Pentaho Data Integration (PDI)/Kettle.
  • Python (NumPy, Pandas and Sklearn)
  • Data Viz (Matplolib, Seaborn, Plotly and Streamlit)
  • PyTorch (CNN and RNN)
  • FastAPI
  • NLP (Spacy, NLTK, RoBERTa and Word2Vec)
  • Microsoft SSIS