• Performed weekly and monthly data validation to ensure data quality, and performed data analysis by understanding client requirements and project objectives.• Identified server issues and job failures by analyzing the log data through proprietary Tools and rectified the issue as per the requirement.• Analyzed the daily cheque deposits from customers to verify the amount and customer details as a part of data quality assurance and quality check.• Performed data cleaning, data collection, and data analysis using advanced Microsoft Excel functionalities and SQL queries to identify the impacted host regions, and machines and used the data to support drive server optimization and process improvements.• Utilized complex SQL queries to extract and identify the server-level details from different tables in the database and used the result set for report generation.• Communicated insights to clients through the creation of charts, dashboards, and reports using Microsoft Excel that helps in suggesting data-driven decisions and strategies.• Collaborated with diverse cross-functional and technical teams to provide insights on infrastructure vulnerabilities.• Gained an understanding of Python data analysis packages, Numpy, and Pandas, to clean, analyze and visualize data. Also, implemented the same based on the level of analysis required by the client.• Ability to visualize the data using data visualization tools like Tableau, and Microsoft Power BI, and also with Python packages, Seaborn and Matplotlib.