Shoaib Ali A
Aspiring Data Analyst
About Me
I'm a passionate and driven data analysis student with a knack for uncovering insights from complex datasets. My journey in technology started with a simple spreadsheet and has since grown into a full-fledged passion for data visualization, statistical analysis, and machine learning. I thrive in collaborative environments and am always eager to learn new tools and take on challenging analytical problems. When I'm not wrangling data, you can find me exploring hiking trails or lost in a good sci-fi novel.
My Projects
Credit Card Transaction Analysis
This project presents an interactive Power BI dashboard for analyzing credit card transactions. It visualizes spending patterns, transaction volumes, and customer segments in real time. The dashboard helps identify trends, detect anomalies, and support data-driven decision-making. It integrates key metrics such as total spend, average transaction value, and category-wise analysis. Designed for clarity and efficiency, it empowers businesses to monitor and optimize financial performance
View Project →HR Dashboard and Sales Insights Dashboard
This project showcases an interactive Power BI dashboard for HR and employee attrition analysis. It provides real-time insights into workforce demographics, attrition rates, and key HR metrics. The dashboard helps identify patterns in employee turnover and supports data-driven retention strategies. Key visualizations include department-wise attrition, tenure analysis, and performance correlations. Designed for clarity and impact, it empowers HR teams to make informed, strategic decisions.
View Project →Sales Dashboard project
This project presents an interactive Power BI Sales Dashboard designed to track and analyze sales performance. It provides insights into revenue trends, top-performing products, regional sales distribution, and customer segments. The dashboard enables users to monitor KPIs such as total sales, profit margins, and growth rates in real time. Visualizations highlight performance comparisons across periods, helping to identify opportunities and areas for improvement. Built for clarity and efficiency, it supports data-driven sales strategies.
View Project →pizza sales analysis project
This project analyzes pizza sales data using SQL to uncover key business insights. It explores total orders, revenue, most popular pizza sizes, and top-selling varieties. The analysis identifies category-wise demand, peak ordering hours, and revenue contributions of each pizza type. Advanced queries provide rankings by quantity sold and revenue generated. These insights help optimize menu offerings, pricing strategies, and operational efficiency.
View Project →Skills
Languages
- Python
- SQL
Databases
- MySQL
BI Tools
- Power BI
Data Libraries
- Pandas
- NumPy
- MatplotLib
- Seaborn
Analytical Tools
- Excel
- Google Sheets
Photo Gallery
