Utilized SQL to delve into housing price data, unraveling key insights into market trends, regional variations, and factors influencing property valuations. By crafting SQL queries, I uncovered valuable information on price fluctuations, demand-supply dynamics, and housing market conditions, empowering stakeholders with actionable intelligence for informed decision-making in real estate investments and transactions.
Analyzed COVID-19 death data using SQL to identify trends, patterns, and demographic insights. Leveraged SQL queries to extract valuable information on mortality rates, affected regions, and underlying factors contributing to the pandemic's impact, aiding in informed public health responses and policy-making strategies.
Utilized Tableau to create dynamic and interactive data visualizations, transforming complex datasets into insightful dashboards that drive actionable business insights and strategic decision-making across various industries.
Employed Python and Jupyter Notebook to delve into Amazon sales data, revealing valuable insights into sales trends, customer behavior, and product performance, empowering data-driven decision-making.
Utilizing Python and Jupyter Notebook, I delved into the intricacies of sports data to unveil team strategies, player insights, and historical trends, enriching the narrative of the game.
Explore my data analytics projects crafted with Python, unraveling insights and trends across various domains.
Explore a curated selection of Excel projects demonstrating expertise in data manipulation, analysis, and visualization. From financial modeling to reporting, these projects showcase proficiency in leveraging Excel for insightful data-driven decision-making across various domains.