Data Analyst
Current• Developed and maintained efficient ETL pipelines, ensuring seamless extraction, transformation, and loading of data across multiple systems, resulting in a 30% improvement in data processing time.• Conducted in-depth Cost/Benefit, GAP, Risk, and SWOT analyses on large datasets using SQL, Python, and R, enabling data- driven decision-making and improving project outcomes by 25%.• Built automated scripts using Python and Shell/Bash scripting to streamline data cleaning, transformation, and validation processes, reducing manual efforts by 40% and improving data quality and integrity.• Utilized MS Project, Jira, Confluence, and ServiceNow to manage and track progress on multiple projects, ensuring timely delivery and collaboration across departments, improving project efficiency by 20%.• Leveraged Tableau and predictive modeling techniques to create interactive dashboards and forecast reports, providing stakeholders with actionable insights and increasing predictive accuracy by 15%.