"Power BI dashboard analyzing India’s Consumer Price Index (CPI) trends for Rural, Urban, and Combined segments."

This project analyzes the Wholesale Price Index (WPI) for various crops from 2012 to 2024 using Python, Pandas, Matplotlib, and Seaborn. The dataset contains WPI data for different months across multiple years, and this script provides insights through queries and visualizations.

Analyzing 50 years of USDA PPI data to identify food inflation trends, volatility patterns, and historical price shifts.

Trend analysis and bivariate analysis on India CPI (till 2023)

CPI inflation analysis (2012–2022) using Excel to examine year-wise inflation trends based on data from the Ministry of Statistics and Programme Implementation.

Analysis of the US macroeconomic landscape from 2021 to 2025 using FRED data to examine inflation trends, Federal Reserve policy, and labor market resilience . The project incorporates statistical modeling with ARIMA and XGBoost alongside interactive visualizations to evaluate the structural shifts in the post-COVID economy .

End-to-end data analysis project analyzing India's CPI inflation trends (2011–2026) using Python, SQL, and Power BI.

This project analyzes the Phillips curve in India from 1991 to 2024, examining the short- and long-run trade-offs between inflation and unemployment. It provides insights into how these variables interact, helping inform policies for sustainable economic growth and stability.