-Data Preparation: clean, organize, and structure large datasets for analysis, ensuring high accuracy and efficiency-Data Quality Assurance: Implementing checks and audits to identify inconsistencies, correct errors, and improve the integrity of data.-Data Validation: Conduct thorough data validation processes to verify that the data aligns with business rules and standards, minimizing risks and enhancing reliability.

Data Analysis & Visualization: Use tools such as Excel, SQL, Python, R, and Tableau, Power BI to perform detailed data analysis and create compelling visualizations that communicate findings effectively.Statistical Analysis: statistical methods and techniques, including regression analysis, and predictive modeling, ensure data-driven decision-making

Contributed to the Customization of ERP systems for businesses.Developed software solutions for clients using a variety of technologies such as HTML, CSS, and PHP,assisting in systemanalysis, design and testing.Trained clients on the Sage ERP software system, ensuring they were able to use it efficiently and effectively.Worked closely with senior developers to resolve technical issues and improve system performance.Participated in team meetings and provided valuable input to… Show more Contributed to the Customization of ERP systems for businesses.Developed software solutions for clients using a variety of technologies such as HTML, CSS, and PHP,assisting in systemanalysis, design and testing.Trained clients on the Sage ERP software system, ensuring they were able to use it efficiently and effectively.Worked closely with senior developers to resolve technical issues and improve system performance.Participated in team meetings and provided valuable input to project planning and execution.Assisting clients with software usage using remote desktop application(team viewer/Anydesk) Show less