Analysing International Debt Statistics

As a part of my internship with iNeuron.ai, I recently completed my data analysis project titled "Analysing International Debt Statistics". The project was aimed at analyzing the trends in international debt over the years and identifying the factors that influence it.

The project involved working with a large dataset from the World Bank that contained information on the external debt of countries across the globe. The dataset covered a period of over 50 years, from 1970 to 2020, and contained data on various debt-related indicators such as debt stock, debt service, and debt-to-GDP ratio.

Tools used : Excel | MySQL | PowerBi

• Successfully managed and analyzed a large dataset from the World Bank, encompassing over 50 years of external debt information for countries worldwide.
• Utilized Excel for data cleaning and pre-processing, ensuring data quality by handling missing values, outliers, and transforming the dataset for analysis.
• Employed MySQL for data transformation, structuring and optimizing the dataset to facilitate efficient analysis.
• Developed interactive and visually appealing data visualizations using PowerBI, effectively communicating key insights and trends related to debt indicators such as debt stock, debt service, and debt-to-GDP ratio.

Here's My github Repo for the Source Code and other Files :-

https://github.com/Harsh-2412/Analyzing_International_Debt_Statistics