Professional Experience

Joined to Lead Analytics and AI initiatives sitting on the Marketing team. As of 5-2026 the company is now part of SAP through the acquisition of the company.

Spearheaded data analytics and reporting initiatives for GTM teams, implementing advanced analytics strategies that increased revenue by 25% ($5M+) and improved campaign efficiency by 15%. Led cross-functional collaboration between sales, marketing, and finance teams while developing comprehensive data models, implementing Tableau for self-service reporting, and delivering executive-level insights through strategic data analysis and quarterly business reviews.

Led transformative billing platform projects managing 100+ million telecom records monthly, achieving 20% improvement in system reliability and 30% reduction in processing times. Served as interim Director for 6 months, collaborating with Fortune 500 executives and cross-functional teams across Sales, Billing, and Finance. Drove Google Cloud Platform adoption resulting in 18% cost reduction with telecom carriers and 15% monthly revenue increase through improved billing accuracy and unbilled revenue identification, while developing comprehensive data models and Salesforce dashboards to support strategic decision-making.

Developed and implemented data-driven forecasting models that improved inventory completion rates by 25% and optimized workforce allocation across multiple timeframes (daily, weekly, monthly, quarterly, and annual). Designed strategic process improvements for workforce metrics that enhanced operational efficiency for non-phone teams, while establishing comprehensive KPIs for tracking leads, loan completion rates, rejected loans, and total loan amounts to drive performance optimization.

Served as an instructor for General Assembly's Data Analytics Short Course, a comprehensive 40-hour program designed to equip professionals from diverse industries with essential data analysis skills. Delivered hands-on training in Excel, SQL, and Tableau to cohorts of students, covering data acquisition, cleaning, analysis, and visualization techniques. Guided students through real-world projects and capstone presentations, helping them develop portfolio-ready analytical skills and practical experience with industry-standard tools for data-driven decision making.