Motivated with a strong interest in Data Analysis. Proficient in Excel, SQL, Python, and data visualization tools such as or Power BI. Experienced in personal projects involving data cleaning, EDA, and dashboard creation. Quick learner, detail-oriented, and eager to contribute to a data-driven team.
Tableau, Power BI, Tableau
PostgreSQL, MySQL, MongoDB
Advanced Excel, Google Sheets, Pivot Tables, VBA
Python, SQL, DAX, C++, Javascript
This analysis covers monthly sales performance by region, total profit and quantity, and annual revenue trends. It also highlights the top-selling product categories, the most frequently used shipping methods, and the customers and managers with the highest contributions to sales. Additionally, city-level sales distribution and customers with the highest purchase frequency provide further insights into the most influential areas and customer behaviors.
An interactive Power BI dashboard that analyzes sales trends, customer segmentation, and revenue forecasting with 95% accuracy.
Cleaning and preparing datasets in PostgreSQL for analysis.
This project analyzes job and salary data for data analyst positions and identifies the most in-demand skills for high-paying careers. The project results provide insights into the highest-paying jobs, essential skills to master, and recommendations for optimal skill development for data analyst careers.