• Supported the Accounting team by developing Tableau dashboards to ensure accurate forecasts within a 5% variance of actuals.• Automated data workflows using Python, reducing manual processing by 30% and increasing operational efficiency.• Applied business analysis techniques to estimate the impact of external variables on company metrics, like revenue changes.• Analyzed product and financial data with SQL and Tableau to improve forecast accuracy and support budgeting processes.• Developed data models to quantify the effect of seasonality and site locations on wage rates and other financial metrics.• Created data stories and dashboards for clear communication of financial forecasts and business trends to the executive team.• Collaborated with cross-functional teams to modify forecasting models and ensure alignment with operational goals.• Independently managed complex data projects, adapting to evolving business requirements and timelines.

• Developed 3D data visualizations in R, enhancing data interpretation and analytical clarity for complex datasets.• Conducted quantitative research using business intelligence tools, contributing to data-driven insights and report generation.• Applied problem-solving techniques to refine data analysis methods, aligning research outcomes with strategic goals.• Collaborated across research teams to improve data communication and presentation.

MICROSOFT PROJECT• Managed SQL-driven data analysis to optimize marketing strategies and enhance business growth.• Analyzed large datasets in a fast-paced environment to identify trends and inform product optimization.• Led system migration projects, improving operational efficiency by 7% and reducing incidents.• Developed automated reporting solutions with Python and SQL, enhancing data accessibility and decision-making.• Identified data patterns and opportunities to drive strategic decisions and prioritize product development.• Collaborated with cross-functional teams to improve service delivery and ensure client satisfaction.

• Enhanced sales target prediction accuracy by 15% by developing a machine learning model using Tableau, Python, and automation.• Increased operational efficiency by 15% through effective project management and technical solution deployments using JIRA.• Designed interactive dashboards in Tableau and Power BI, improving data visualization and performance tracking.• Boosted sales by 7% and reduced stockouts by 25% through strategic data-driven decision-making.• Achieved a 12% reduction in annual spending via strategic planning and precise data manipulation.

• Provided actionable insights to company leadership by executing data analysis projects using Python, SQL, and Tableau.• Conducted exploratory data analysis to identify key data types, statistics, and variable distributions, supporting strategic decisions.