• Analyzed sales and revenue data using Excel by developing automated dashboards, applying advanced formulas, and utilizing pivot tables to track key performance indicators (KPIs), forecast revenue trends, and identify opportunities to increase profitability • Automated data integration, quality checks, and processing of customer survey feedback using Python scripts, improving data accuracy and reducing a 10-day manual process to minutes. • Developed and implemented streamlined processes with databases for issue tracking and resolution, reducing average handling time by 15% • Created data reporting pipeline that queried daily sales data (4-5 terabytes) using joins, aggregations, unions, and windows, formatted to create reports, and presented to stakeholders for auditing • Migrated legacy data from Oracle RDBMS to BigQuery and designed a NoSQL schema, reducing query latency by 25% through indexing, partitioning, and performance optimization.

• Analyzed 5+ TB of housing and development data using Python, SQL, and Excel, identifying trends in property sales and growth patterns that guided strategic planning for new developments and optimized resource allocation • Developed automated data pipelines in Python, reducing reporting time by 50% and enhancing data accuracy. • Developed and optimized complex SQL queries to extract and manipulate large datasets, improving query performance by 30%, which accelerated reporting timelines and enhanced decision-making efficiency • Designed and developed interactive Power BI dashboards to visualize housing development KPIs, leveraging slicers and drill-through functionality to enable stakeholders to explore trends in property sales, occupancy rates, and growth patterns, driving a 23% increase in property sales. • Created triggers, stored procedures, wrote complex SQL queries to create views for efficient data management

• Oversaw overall operations, managing team performance and ensuring optimal customer service.• Administered cash transactions, inventory management, labor cost, payroll, and organizational tasks.• Devised and implemented a labor system, reducing labor costs by 15% while sustaining sales flow.• Cut inventory costs through effective inventory analysis resulting in a 10% increase in profit• Performed ad-hoc sales analysis, managed quick turnaround times for all assigned tasks/projects

• Collected, cleaned, and preprocessed data from internal databases and external sources to ensure data accuracy and reliability to support analysis of program performance and student outcomes • Performed statistical analyses on large educational datasets using Python, R, and Excel to identify trends in student enrollment, program effectiveness, and resource allocation, delivering actionable insights that improved decision-making and enhanced organizational strategies • Designed and developed dashboards and visualizations using Tableau and Power BI to effectively communicate program performance findings to stakeholders. • Supported data-driven projects by contributing to strategy development, testing new analytical tools, and solving business problems through data analysis.