This is my Capstone in which I analyzed data provided by Salifort Motors' HR department to develop predictive models for employee turnover. Using Python, I identified factors contributing to attrition and built models to forecast employee departures. The goal was to empower the company with insights to enhance retention strategies and foster a positive work environment.
Welcome to my Tableau project showcasing insightful analyses of Airbnb data. Explore visualizations depicting the correlation between pricing and the number of bedrooms, variations in prices across diverse zip codes, and revenue trends throughout the year. This project offers a professional exploration of key metrics within the Airbnb ecosystem, providing valuable insights into market dynamics and trends.
Explore my Python web scraping project, where I extract valuable data from Amazon listings. Using Python, I delve into product details, prices, and customer reviews, offering insights into e-commerce trends. Join me as I showcase the power of web scraping in unraveling valuable information from the web.
Discover insights from my Power BI project, where I visualize data from a survey on Data Professionals' work experiences. Using Microsoft Power BI, I present visualizations that shed light on how different professionals respond to the survey questions. Explore trends, patterns, and insights in a user-friendly format. Join me as I showcase the power of data visualization in understanding the landscape of data professionals' experiences.
In this data visualization project, I analyze game sales data across various locations, focusing on North America. Utilizing a dataset sourced online, I examine trends and patterns in game sales over the years. By isolating North American sales and employing visualization techniques, I uncover insights into sales dynamics and regional variations. Join me as I forecast sales trends for 2025, offering valuable insights for stakeholders and enthusiasts.
Check out my bike sales dashboard! Using a dataset, I've visualized sales trends, prices, and regional preferences. Explore interactive graphs for quick insights into the bike market. Join me as I uncover trends and opportunities in bike sales!
Using SQL, I analyzed COVID-19 data from reliable sources. Through table segmentation and SQL queries, I uncovered trends, patterns, and insights crucial for understanding the pandemic's progression and impact. This project showcases my proficiency in SQL and data analysis while highlighting the importance of data-driven insights in addressing global health crises.