Movie Trends and Profitability Analysis of Hollywood’s Most Profitable Stories

In this project, I used Python to analyze what makes a Hollywood movie profitable, looking at genres, audience scores, critic ratings, and box office returns. Through this analysis, I identified which genres and studios consistently bring in high returns, offering a clear view of what audiences are drawn to.

Walmart Sales Analysis Using SQL

One of my roles as a data analyst is to help different stakeholders across an organization answer critical business questions. In this project, I assumed the role of a Walmart data analyst, working with store managers, marketing, finance, and customer service teams to address their specific needs through targeted SQL queries. I provided insights on product sales, customer demographics, seasonal trends, and profitability, equipping each team with the information needed to make well-informed decisions in areas like inventory management, marketing, and budgeting

From Raw Data to Insights Analyzing US Car Sales

Using Google Sheets, I built an interactive dashboard that turns car dealership sales data into visual insights. After cleaning and analyzing the data, I highlighted key trends such as top-selling brands, average prices, and sales patterns over time. This dashboard allows stakeholders to quickly spot trends and make inventory and marketing decisions based on real data