• Led the development, deployment, and maintenance of software applications on an AWS EC2 server using Docker and Git to generate actionable, data-driven insights across Hydropoint’s WaterCompass, Baseline, and WeatherTRAK products.

• Increased customer retention rates by 10% and eliminated 20 hours of manual work per month by spearheading the design, development, and implementation of a real-time renewals dashboard to inform client strategy and empower sales staff.

• Reduced manual work and processing time by 50 hours per month by creating an automation script to seamlessly receive water bill files from third-party entities using Python while ensuring data integrity and efficiency via validation checks.

• Developed time-saving internal tools using Python/Django, resulting in a 100-hour annual reduction in workload for the sales team while improving analysis accuracy.

• Ensured an up-to-date and accessible database of relevant data to facilitate decision-making.

• Mentored colleagues in coding and cultivated a culture of learning that enhanced productivity and employee satisfaction.

• Implemented automated processes for scraping data from thousands of Excel files into Postgres, simplifying data processing and access.

• Conducted experiments, data analysis, and A/B testing with SQL, Python, and Excel.

• Managed direct marketing operations impacting 1 million+ customers monthly.

• Analyzed complex data sets, providing actionable insights and predictive analytics.

• Performed data analysis to generate insights on customer churn, behavior, and marketing using SQL and Python.

• Eliminated 30 minutes of manual work each day and ensured the on-time delivery of crucial business insights by driving the automation of daily reports containing key CRM metrics such as answer and conversion rates using VBA and Python.