• Building automated form processor with 95%+ accuracy, reducing manual workload by 40h/week and enabling real-time tracking.

• Developed automated reporting systems with MySQL and Looker for documentation and analytics workflows.

• Designed automated lead capture system with A/B testing, optimizing channel/campaign conversion and boosting lead intake by 12%.

Developed predictive models (SQL, Python) to assess risk, optimizing decision-making, for real-time, insightful recommendations.

Built automated data pipelines on AWS, performing ETL processes, to support real-time insights relevant to climate risks.

• Contributed to the development of a comprehensive database by entering detailed information about music venues, enhancing data accuracy and accessibility for industry analysis.

• Collaborated with the data analysis team to refine a Python script for identifying duplicate entries, optimizing data quality and supporting the strategic goals of the analytics division.