• Collaborated with stakeholders to analyze and document requirements using Waterfall methodology, resulting in comprehensive project documentation.• Incorporated SQL queries for data extraction, transformation, and analysis, improving query efficiency and reducing processing time by 30%.• Leveraged NumPy and Pandas for efficient data manipulation, and transformation, improving data processing speed by 40%.• Integrated diverse data sources into Power BI, confirming comprehensive analysis and enabling a holistic view of business operations, which led to a 30% improvement in data accessibility and reporting efficiency.• Implemented AWS S3 for secure and cost-effective data storage, improving accessibility and data retrieval efficiency by 30%.• Conducted routine maintenance and backups for SQL Server databases, guaranteeing data availability and disaster recovery readiness, achieving a 99.9% uptime and reducing potential data loss by 40%.• Managed MYSQL databases, leading to data integrity, performance optimization, and efficient query execution, resulting in a 25% reduction in query response time.

• Coordinated team developing the web-based applications in gathering clients' requirements and aligning the project development with project objectives. • Achieved 20% error reduction and 15% improvement in forecasting accuracy of the applications.• Conducted comprehensive data analysis and profiling using SQL and Teradata systems, processing over records and profiles to ensure accuracy and integrity.• Designed real-time finance dashboards, predicting customer behavior metrics and trends, optimizing data operations by 80%.• Automated data cleaning processes using Python, SQL saving 15 hours per week in applications, safety reporting, and risk analysis.• Created interactive Tableau dashboards for stakeholder presentations, boosting data-driven decision-making by 20%.• Collaborated with stakeholders to define KPIs and automated dashboards, improving data reporting efficiency by 50%.

• Guided in data projects using Agile methodologies, propagating alignment with business goals and timely delivery of data solutions.• Conducted data manipulation, and visualization tasks in Python and, R ensuring data integrity and facilitating comprehensive analysis.• Employed ggplot2 in R for elegant and customizable visualizations, enabling a deeper understanding of complex data structures and improving data interpretation accuracy by 25%.• Created interactive and visually compelling dashboards in Tableau, facilitating easy data exploration and enabling stakeholders to make informed decisions based on visual insights, resulting in a 35% increase in decision-making efficiency.