This project analyzes employment and population trends in India between 1961 and 1988 using SQL on structured data. It highlights insights into gender-based employment patterns and changes across age groups and industries, helping understand socio-economic shifts in post-independence India.
This project analyzes the demographic transition in the United States, focusing on historical changes in fertility and mortality patterns. Using models like Lee-Carter and Renshaw-Haberman, it explores the impact of socio-economic factors, healthcare advancements, and cultural shifts on population dynamics, forecasting trends for the next 50 years.
Analyze the population trend for 150 years using Power BI across the world.
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