Improve customer experience by analyzing sales data and Increase revenue
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Updated
Jul 11, 2025 - Jupyter Notebook
Improve customer experience by analyzing sales data and Increase revenue
Analyzing global development metrics, income classes, and life expectancy across countries
This project explores a rich dataset from OKCupid, a dating app known for its compatibility matching system based on optional personality and lifestyle questions. The data contains over 60,000 user profiles, including demographics, lifestyle preferences, and free-text essays.
Welcome to the International Happiness Report Analysis :) Discover What Makes People Happy across nations through an interactive Streamlit dashboard. In this analysis, the dataset we used is based on International world reports for the period between 2005 et 2021.
This project performs Exploratory Data Analysis (EDA) on a customer segmentation dataset to uncover insights into customer demographics, spending behaviors, and transaction patterns. The goal is to guide targeted marketing strategies by identifying key customer segments.
Analyzing Berlin's July 2025 unemployment trends using official BA data. Compares gender, nationality & age disparities through Python visualizations. Created after my own job loss to understand the local job market. Includes processed datasets & insights for fellow job seekers.
Predict churn and derive actionable strategies to retain users in a highly competitive telecom environment.
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