Data Scientist
Current- Optimized data warehouse schema design (BigQuery) and complex SQL queries, accelerating analytics performance by 30%.
- Built a data quality monitoring framework (Python, Looker), reducing data inconsistencies by 15% and improving confidence in business decisions.
- Optimized data quality and streamlined processes. Improved data quality by 15% and reduced processing errors by 10% through cleansing and optimization using SQL and Python.
- Delivered actionable insights through targeted analysis. Analyzed customer segmentation and campaign data using SQL, Python, and Excel (Macros) to develop targeted marketing lists (~6K per list), directly contributing.
- Created financial dashboards for informed budgeting. Developed Power BI/Looker dashboards for revenue tracking, facilitating real-time forecasting and data-driven budget insights.
- Developed a robust ETL process (Python, SQL) to integrate data from multiple sources, increasing data accessibility and completeness for business intelligence.