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Cleaning and analysis of World Bank economic indicators (GDP, inflation, unemployment) for 217 economies (countries and territories) using Python and pandas, with a focus on Pakistan's position against South Asian peers from 1990 to present.
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About This Work
I worked on a Python-based data processing and machine learning workflow focused on turning raw data into clean, reliable, and usable insights. The work involved cleaning and transforming data, handling missing or inconsistent values, validating data quality, and preparing meaningful features for analysis and machine-learning workflows.
I focused on making the workflow structured and reproducible so that the resulting data could be used confidently for downstream analysis and model evaluation.
Skills: Data Processing & Cleaning · Machine Learning · Data Analysis & Validation
Tools: Python · Pandas · Scikit-learn
