Aspiring Data Analyst skilled in Excel, SQL, and Tableau @DarielEusebio
In this project, I cleaned the 2020-2023 layoffs dataset in MySQL server by identifying and removing duplicates, standardizing data formats, handling null values, and removing unnecessary records. This process enhanced the data integrity and prepare the dataset for effective analysis.
This project analyzes restaurant data in order to uncover trends and insights into popular orders, customer behavior, and trends among top spenders.
This project builts on the data cleaning project documented in a different repository. I utilized exploratory data techniques to uncover insights on the layoffs.csv dataset. Key findings include identifying uber as the company with the most layoffs in 2020 with 7525.
This project uses Excel to analyze bike sales data. It explores the relationship between bike sales and factors such as region, gender, commute distance, children, etc. The analysis reveals a strong relationship between regions such as North America and bike sales when compared to other regions such as Europe and Asia.
Tableau Projects from Data Analytics Fellowship at COOP as well as personal projects.
This Bash script uses postgresql to simplify appointment scheduling for a barber shop. Users can view available services such as haircuts, trims, and shaves, select appointments based on time slots, and provide their information.
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