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Alexsander Lopes Camargos

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Who I am

Hi! I'm Brazilian, I'm 37 years old, I'm passionate about solving problems, I'm not afraid to face new challenges, and that's exactly what I'm looking for when applying my knowledge in processes that transform complexity into simplicity, helping to solve the most diverse problems. I have been working for more than 15 years in the administrative area, I have a degree in business administration, with solid experience in administrative routines/procedures and people management.

Find out moreabout me.

Resume
Alexsander Lopes Camargos

Here are a few technologies I've been working with recently:

  • Python
  • Linux
  • Docker
  • Git
  • Database
  • HTML5
  • Sass
  • JavaScript

Some Things I've Built

    Featured Project

    Python Fundamentus

    The Python Fundamentus is an API developed in Python designed to facilitate quick access to the main fundamental indicators of the most relevant stocks in the Brazilian market. By utilizing the information available on the Fundamentus website, it provides detailed financial and fundamentalist information of companies listed on B3, this project aims to bring the wealth of financial data directly to your Python applications in an efficient and organized manner.
    • Python
    • Beautiful Soup
    • Requests
    GitHub

    Featured Project

    Bacen IF.data AutoScraper & Data Manager

    The Central Bank of Brazil (Bacen) publishes detailed reports on a quarterly basis, featuring a wide range of data about financial institutions, available through the IF.data Portal. Although this data is valuable, it requires careful processing and analysis to extract significant information. The main goal of this project is to apply data mining techniques to the datasets from the IF.data Portal with the aim of creating insights about the Brazilian financial system.
    • Python
    • Selenium
    • pathlib
    GitHub

    Featured Project

    Nobel Prize Master Data

    This project, through a report in Power BI, analyzes Nobel Prize laureates from 1901 to 2019 to explore trends, global recognition, and diversity. Focusing on the geographical distribution, it highlights the leadership of the United States with 272 awards (35.74% of the total), followed by the United Kingdom and Germany, reflecting the dominance of certain nations and the universality of the award. Utilizing Power BI's analytical tools for dynamic and interactive visualization, the project encourages discussion on its findings, underscoring the historical impact of the Nobel Prize and fostering debates on excellence in science, literature, and peace, promoting a deeper understanding of its significance and evolution.
    • Microsoft Power BI
    • Microsoft Power Query
    • DAX (Data Analysis Expressions)
    Preview

Get In Touch

My inbox is always open. If you want to offer me an opportunity, have a question or just want to say hi, I will try my best you answer you!

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