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