Passionate data analyst, looking to play with data and explore data visualization tools with expertise in Excel.
Summary: Worked on data-driven recruitment strategies, business process optimization, and analytics to enhance decision-making.
Key Responsibilities:
— Analyzed recruitment data using SQL, Excel, and Python to improve hiring efficiency. Managed data with Pivot Tables, and created data visualizations for a clear representation of market analysis.
— Developed dashboards and reports in Power BI/Tableau for data visualization and trend analysis. Also, I conducted market research and predictive analytics to optimize talent acquisition strategies.
— Applied root cause analysis (RCA) to identify and resolve inefficiencies in hiring processes.
Summary: Developed and automated data validation, testing, and reporting processes using Python, SQL, and Selenium to improve software quality and efficiency.
Key Responsibilities:
— Automated data validation and testing using Python, SQL, and JSON for accuracy and consistency.
— Built SQL queries and stored procedures for database verification and performance optimization. Developed automated test reports, integrating Python with HTML, and CSS for clear visualization.