Conduct in-depth analysis of business requirements and user stories to define project scope, estimate effort, set timelines, and plan QA test strategies for projects.Collaborate with project managers and development teams in Agile Scrum meetings to report progress, communicate project updates, and assist in sprint and feature planning.Execute comprehensive data analysis and testing activities throughout sprint cycles, ensuring alignment with business objectives.Develop and execute test cases and scripts based on data mapping documents, functional specifications, and requirements for ETL, Data Warehousing, BI applications, and data migration projects.Create and run SQL queries to validate data accuracy, completeness, and integrity across various applications.Conduct defect tracking, review test results, and document identified issues, ensuring all project deliverables meet high standards for data quality, functionality, performance, and stability.

• Developed front desk strategies to streamline operations, reducing customer wait times by 10% and enhancing overall service efficiency.• Managed staff scheduling and inventory systems, optimizing resource allocation and minimizing shortages, reducing waste by 5%.• Led training sessions and team meetings, ensuring alignment with service standards and improving staff performance and customer satisfaction.• Executed cash handling procedures and collaborated with kitchen teams during special events, ensuring smooth coordination and accurate financial transactions.

• Developed a comprehensive Power BI data model by integrating Excel datasets, resulting in a 75% accuracy rate for analytical insights.• Managed and prioritized the data request queue, assigning tasks to team members and ensuring timely, accurate data delivery for various stakeholders.• Streamlined data transformation processes in Power BI using advanced DAX functions for complex calculations, automating ETL workflows, and reducing overall data processing time by 10%.• Served as a subject-matter expert on internal workflows, providing exceptional client service and driving improvements in team efficiency and client satisfaction.• Utilized Python and Power BI to predict political outcomes, achieving an 85% prediction accuracy, which provided strategic insights for campaign strategies and policymaking.• Delivered comprehensive reports with findings and recommendations, offering actionable insights that informed critical decision-making processes.Environment: MS Excel, ETL, MySQL, BI reporting, DAX, Machine learning Models, MS PowerPoint, Lucid Charts.

• Performed comprehensive analysis using R, including time-series forecasting to predict production trends and proactively identify potential issues.• Leveraged SQL to enhance data retrieval speeds, creating indexes that facilitated timely decision-making and improved overall efficiency.• Evaluated production data and identified breakdowns, uncovering inefficiencies that drove up costs. Developed a machine learning model with 83% accuracy, pinpointing critical causes of deficiencies and increasing production efficiency by 2%.• Collaborated with cross-functional teams to implement process improvements that enhanced scalability and operational efficiency across departments.• Served as a liaison between departments, translating analytical insights into actionable findings that fostered inter-departmental collaboration and improved forecasting accuracy.Environment: Informatica, SAP, MS Excel, MS word, R programming, Forecasting models, Machine Learning Models.

• • Developed and executed operational policies and procedures, leading to an 8% increase in overall efficiency and a 5% rise in sales through targeted process enhancements.• Monitored and analyzed key performance indicators, using Excel for data visualization to highlight findings and support data-driven decision-making initiatives.• Streamlined inventory management and utilized ERP systems to minimize waste, resulting in monthly cost savings exceeding $5,000.• Delivered exceptional customer service by promptly addressing and resolving operational challenges, which significantly improved customer satisfaction and retention rates.• Maintained effective communication with suppliers and clients, ensuring smooth operations and timely responses to inquiries and requests. Environment: Ms. Excel, MS office, Forecasting Techniques, Visualization, SAP.