Fábio O.
Data Analyst

Skills

Microsoft Sql Server

Python

Postgresql

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Bio

Data Science specialist with over four years of expertise in ETL processes, exploratory Big Data analysis, data mining, and Data Science methodologies. Experience encompasses diverse sectors such as marketing, retail, telecommunications, agribusiness, logistics, pharmaceutical, healthcare, finance, and manufacturing. Proficiency in SQL and MY SQL databases is complemented by theoretical and practical knowledge of data visualization tools like Power BI and Google Data Studio. Additionally, adept in programming languages including Python, PySpark, R, DAX, and SQL.

Power BI Specialist
8/1/2022 - 12/1/2022

Implemented Business Intelligence projects within the financial and sales sectors. Developed expertise in handling short-term, contract-based engagements tailored for specific project durations.
Senior Data Analyst
6/1/2022 - 8/1/2022

Led the implementation of BI projects, encompassing the entire process from requirement gathering to the creation and deployment of dynamic dashboards for result presentation. Demonstrated expertise in BI tools and dashboard development, showcasing an ability to translate complex data sets into actionable insights. Engaged as a freelance contractor, managing time-sensitive project deliverables effectively to meet specified deadlines.
Data Analyst
10/1/2021 - 1/1/2022

Developed expertise in ETL processes using Google Colab and Jupyter Notebook. Proficiently utilized Google Sheets for data management and analysis. Demonstrated advanced skills in creating dynamic reports with KPIs and statistical data using Power BI and Data Studio. Regularly presented reports and findings to managers and senior executives during meetings. Worked on a project-based contract through a legal entity, adhering to predetermined project timelines.
Data Analyst
5/1/2019 - 10/1/2021

Implemented BI projects in various sectors including telecommunications, retail, and agribusiness. Conducted information gathering, requirements analysis, and data validation to ensure successful project execution. Utilized tools such as Power BI, SQL Server, MySQL, Google Colab, and Jupyter Notebook for ETL processes and data analysis. Projects were executed on a freelance basis with predetermined timelines for each assignment.