Name: Fabricio Mello Mulato
Profile: Software Engineer / Data Scientist
Email: fmulato@yahoo.com
Phone: +64 027 462 5660
Skill
Python 95%About me
Business Intelligence Developer | Data Analyst with auditing, tax law, and machine learning expertise | Power BI | SQL | Python | Data Storytelling
Data & BI professional with strong experience in ETL development, SQL, Python, AWS, and Power BI. Master of Software Engineering and MBA in Data Science with hands-on skills in data engineering, cloud automation, and dashboard design. Spent 18 years at the São Paulo State Tax Office in advanced analytical roles involving fraud detection, risk modelling, ML techniques, Data Analytics and BI modernisation. Skilled at transforming complex datasets into actionable insights and delivering scalable data solutions that improve decision-making.Key Skills:
✅ Data Analysis and Visualisation – Experience with Power BI, Tableau, and Python✅ Software Development – Programming in Python, SQL, and emerging technologies
✅ Automation and Data Intelligence – Application of machine learning and statistics for process optimisation
✅ Agile Management – Knowledge of methodologies like Scrum and Kanban
I am passionate about innovation and data, always striving to turn technical challenges into strategic solutions.
I am open to opportunities in software engineering, data analysis, and automation.
Education
My academic jorney is a testament to my commitment to continuous learning and growth.
Master of Software Engineering
Yoobee College of Creative Innovation, New Zealand.
(Nov 2024 – Present)
MBA in Data Science
Universidade de São Paulo (USP), Brazil
(January 2023 - March 2024)
Postgraduate (Lato Sensu)
Tax Law
Universidade Estácio de Sá/CERS, Brazil
(2018 - 2020)
Master of Business Administration - MBA
Universidade de São Paulo (USP), Brazil
(2000 - 2002)
Industrial Engineering
Universidade de São Paulo (USP), Brazil
Bachelor (1995 - 1999)
New Challenges
Looking forward to new challenges
Master's Projects
Selected projects developed during my Master's studies, with focus on data analysis, AI, and system integration.
User Behavior Analytics (Data Analytics)
Exploratory and predictive analysis of a fitness tracking app using Python, scikit-learn, and Machine Learnign. Applied regression, clustering, and PCA to uncover user patterns and support software engineering decisions, with attention to ethical and privacy considerations.