Inflation and Expenditure: Decoding Consumer Spending with Data Analytics    

• Sourced data from FRED and multiple financial databases using SQL to facilitate a robust analysis of consumer spending and inflation dynamics aiming to discern spending trends and drive strategic decision-making.

• Employed Power BI to visualize spending trends and correlations, uncovering pivotal insights that shaped strategies across finance, marketing, and economics.

South Asia: COVID-19 Socio-Economic Analysis                                                                                                                                  

•       Utilized Advanced Excel for data processing and Tableau for visualizations to analyze COVID-19's socio-economic impact.

•       Revealed critical insights such as Nepal's 28% employment rate and Afghanistan's 82% households lacking financial access.

Housing Forecast: Real Estate Predictive Analytics 

• Utilized Scikit-learn library to make housing price predictions, conducted web scraping to extract data from Zillow and apartments.com, and subsequently performed data cleansing, integration, and visualization through EDA methods.

• Adopted Support Vector Regression, achieved a 93% prediction accuracy, providing a robust tool for housing price negotiations.