Unraveling climate patterns and forecasting
This project leverages advanced methods to analyze historical climate data and uncover hidden patterns, helping us understand and predict future climate conditions.
This project leverages advanced methods to analyze historical climate data and uncover hidden patterns, helping us understand and predict future climate conditions.
An analysis project focused on understanding the COVID-19 pandemic through data visualization and analysis.
An end-to-end data analysis pipeline to derive actionable business insights from Walmart sales data, leveraging Python and SQL to address critical sales trends, customer behavior, and seasonal patterns.
This project conducts Exploratory Data Analysis (EDA) on New York Airbnb listings to uncover insights into rental patterns, pricing, and host behaviors.
This project implements an ETL pipeline using Airflow to process data from Amazon Books, focusing on extracting, transforming, and loading book-related information into a structured database.
This project provides a comprehensive data analysis to extract meaningful business insights from global GDP data. It utilizes SQL for advanced querying to tackle critical business challenges.
This project leverages advanced SQL techniques to conduct in-depth analysis of MLB player and team data. Analysis uncovers patterns in player careers, team spending, and demographics across decades.