"Here you’ll find a collection of my analytics projects — from exploratory deep dives to interactive dashboards. Feel free to explore, and let’s connect if you’d like to collaborate or chat about data." @Yasaman_Yaghoubi
In this project, I worked with a real-world dataset from a Burn Intensive Care Unit (BICU), covering one year of patient admissions. After cleaning and reviewing the data, I explored patterns in demographics, burn severity, causes, ICU stays, and survival outcomes. Using statistical analysis and visualizations, I identified key factors influencing patient mortality.
This project analyzes one year of maintenance expenses for a 12-unit apartment building using a real dataset I collected from my own property. Starting from raw, unstructured records, I cleaned and standardized cost descriptions, corrected typos, and transformed currency data into a consistent numeric format.
This project analyzes the World Happiness Report 2024 dataset, which covers over a decade of well-being data from countries worldwide. The analysis investigates global happiness trends, identifies top and bottom ranking countries, and uncovers socioeconomic and lifestyle factors most strongly associated with happiness.
This project showcases end-to-end data cleaning and exploratory data analysis (EDA) using PostgreSQL on a global technology layoffs dataset. The goal was to transform unstructured and inconsistent data into a reliable source for business insights.