• Engaged in data pre-processing, cleansing, and the categorization of tables and variables within the database. Worked willingly and effectively with team members and others across the organization to accomplish team goals. • Demonstrated Knowledge and understanding of the fundamental processes of the business, including an understanding of best practices. • Leveraged strong SQL expertise to query, extract, and manipulate data, ensuring data accuracy.• Played a pivotal role in designing and optimizing Extract, Transform, Load (ETL) processes, ensuring efficient data integration and transformation to meet the reporting needs.• Effective time and project management skills, including understanding of the appropriate project management tools to increase the effectiveness of projects.• Experience of gathering requirements needed to implement data management standards and actively took stakeholder feedback on solutions to drive continuous improvement. • Recommended key performance indicators (KPIs) and crafted reports to monitor adherence to data management standards, collaborating with various data team members to drive innovation.• Participated in testing initiatives to ensure the proper execution of data integrations, providing regular updates to stakeholders on solution proposals, timelines, progress, and issues.• Utilized strong analytical skills to identify trends, patterns, and anomalies within dataset, contributing significantly to data-informed decision-making.• Ensured quality of work in processing queries is maintained and improved and identified opportunities to improve query process and research/analysis process.• Excelled in an Agile environment, actively participating in sprint planning, stand-up meetings, and iterative development to deliver data solutions on time and adapt to evolving business needs.

• Performed data analysis through SQL, excel and python and operating database management systems providing Data Analytical solutions. • Utilized SQL, Excel, and Python for data analysis and managed database systems to deliver analytical solutions.• Collaborated with product leaders and departments across the organization to identify essential business performance indicators, pricing strategies, and develop actionable insights through analytical solutions. • Built BI solutions using Power Bi, merging internal and external data sources to provide competitive insights to the business. • Conducted data pre-processing tasks, including loading and cleansing datasets, and collaborated with stakeholders to identify analytical needs, translate requirements, and present data-supported analyses.• Identified and categorized direct and indirect identifiers, measured, and determined and applied required data transformations. Collected and analyzed the data to ensure reporting was updated and accurate. • Analyzed data through excel, python and SQL. Collected and documented data requirements and conducted insightful ad-hoc analysis to address ongoing or one-time issues. • Conducted data analysis using SQL, EXCEL, and Python for clients, emphasizing data accuracy and relevance. Collaborated with stakeholders to translate requirements into actionable insights supported by data analysis.

• Assisted in the analysis of large dataset, leading to improved company performance.• Managed and combined multiple Excel data files accurately.• Conducted detail-oriented data analysis using SQL and Excel.• Developed and maintained intuitive dashboards for stakeholders, to access key performance indicators easily.• Conducted statistical analyses to find correlations and patterns, making data-driven suggestions for enhancing business processes.• Collaborated with cross-functional team to determine data requirements, ensuring accuracy and through data collection and reporting.• Presented findings and recommendations with management, impacting strategic decisions and forecasting business growth.