At Sprouts.ai, I lead end-to-end data quality for multi-vendor contact and company data, from ingestion and transformation through production-facing outputs. I define validation standards, strengthen enrichment logic, and build taxonomy frameworks that make records consistent and searchable.
I've managed and mentored an 18-member team while partnering with Engineering, Product, Customer Success, and AI/ML teams to automate extraction, cleaning, and enrichment workflows. My work supports accurate client data delivery aligned to Ideal Customer Profiles and reduces manual operational effort.
I build Power BI dashboards for data coverage, quality scorecards, and executive decision-making, alongside analytical work in SQL, Python, Excel, and Google Sheets. I also establish data-drop monitoring, downstream impact analysis, and anomaly checks before issues reach users.
Previously, I optimized SQL-driven ETL and reporting at Sapio Analytics, built Tableau dashboards and web-scraping workflows at TrainerGoesOnline, and used data analysis to improve operations at Concentrix and Conneqt Business Solutions.
