COVID-19 Data Science Study

October 2022 ⭐ Featured Project

Conducted comprehensive analysis of combined effects of COVID-19 and geopolitical conflicts on economic stability. Utilized Jupyter Notebooks for data cleaning, exploratory analysis, and pattern recognition. Created visualizations using Seaborn and Matplotlib to illustrate trends.

Python Data Science Machine Learning

GitHub Live Demo

Project Demo

Project Overview

A comprehensive data science study analyzing the intersection of COVID-19 pandemic effects and geopolitical conflicts on global economic stability.

Analysis Components

Multi-source data integration
Exploratory data analysis
Pattern recognition and trend identification
Statistical visualization
Economic impact assessment

Tools & Techniques

Data Processing: Pandas, NumPy
Visualization: Seaborn, Matplotlib
Environment: Jupyter Notebooks