Guilherme Matheus
Portfolio

Brazilian, engineer and developer well versed in BI, SQL, Python, VBA, Power BI. Passionate about technology, who uses agile pratices and decision-making processes data-driven. You can find me in my LinkedIn profile, and also in my Medium.

Hi, I’m Guilherme! But you can call me Gui.
Nice to meet you.

Since the beginning of my journey as an engineering student and after my exchange program in London, I have worked as a financial analyst and because I already had the knowledge with data analysis, where I was already using Power BI, VBA, SQL to extract and analyze financial data, I ended up being invited to be a Business Intelligence Developer. So I started to work using dimensional modeling, transformations with ETL and data execution strategies, as well as working with new programming languages/solutions ​and back-end and front-end tools. With that being said, I can say that now I have a great and extesive BI experience from data modelling until data visualization.

I'm getting deeper into studies, so I'm currently taking an extensive training in Data Science and in the future I intend to start an Artificial Intelligence training, in addition to starting to learn a third language. I'm confident, curious and ready for new challenges.

Back-end Developer

I like to code scripts and automations from scratch and enjoy bringing ideas to life .

Programming Languages:

SQL (Microsoft and Oracle), VBA, PowerShell

Back-end Tools:

  • PL/SQL
  • Oracle Data Modeler
  • Oracle Data Integrator
  • SQL Server Management Studio
  • SQL Server Integration Services
  • Excel VBA

Front-end Developer

I value clean visualization, smartful design dashboards, and rich interactions.

Programming Languages:

DAX

Front-end Tools:

  • Microsoft Power BI
  • SQL Server Analysis Services (Tabular and Multidimensional)
  • SQL Server Reporting Services
  • Tableau

Data
Analytics

I genuinely care about people, and love helping fellow designers work on their craft.

Programming Languages:

Python, R

Data Analytics Tools:

  • R Studio
  • Jupyter Notebook