Luis Martinez Borges

Network Computer Systems Administrator

Based in Gran Canaria, SPAIN

About

Passionate about uncovering insights from a large volume of data to drive key business decisions

Skills

SQL
Python
Excel
Power BI
HTML
CSS
JavaScript
Power Query
Docker
Web Scraping
Statistics

Projects

Netflix 2022 Power BI Presentation

Power BI
Statistics
Power Query

Report created with Power BI about all the movies and series on Netflix from the year 2022. I had to clean the data before being able to manipulate it using Power Query. The report contains several graphs where the data can be easily appreciated.


Zalando Web Scrapper of Sneakers Calendar

Python
Web Scraping

Script created using the Python libraries Pandas & Selenium. It retrieves data on new releases of exclusive sneakers from the Zalando.com website using the Selenium and Pandas libraries.

Crypto Asset Porfolio in Excel

Excel
Statistics
Power Query

Custom cryptocurrency portfolio using data such as current market capitalization, entry price, selling price, purchase price, and current asset price to calculate profits and have a clearer understanding of the amount to declare

Power BI & SQL Server Project Sales

Power Query
Power BI
SQL
Statistics

My first project as a data analyst involved using Power BI to work with data from a SQL Server database. I had to clean up the data, run SQL queries to get the right info, and set up tables and measures in Power BI. With these tools, I made visualizations that showed useful insights from the data, helping with decision-making

Power BI Data Analyst Survey: LinkedIn Insights

SQL
Power BI
Statistics
Power Query

I utilized a dataset from LinkedIn surveys of professionals in data analysis, data engineering, and data science. Using Power BI, I created usefulls visualizations to provide and work-life balance.

Download Folder Cleaner

Python

The Python program 'Download Folder Cleaner' automates file organization in the Windows downloads folder.It categorizes files into categories such as images, videos, documents, etc., based on their extensions, and moves them to corresponding folders. It also handles unclassified folders. It provides a quick and efficient way to keep downloaded files organized

SQL Project: Walmart Sales

SQL
Statistics

The analysis helps in identifying the top-performing branches and products, understanding customer preferences, and determining the optimal times for promotions and sales strategies. This comprehensive approach enables data-driven decision-making to enhance sales performance and customer satisfaction.

Python & PostgreSQL in Docker: Airbnb Insights

Python
Docker
SQL
Statistics

The project uses Docker for a consistent environment and a Python script to automate data processing and analysis. Insights help optimize listings and guide guest decisions, ensuring an efficient workflow and valuable understanding of Airbnb data trends.