At Cointab Software, I own data quality and root-cause analysis for financial reconciliation data across 40 enterprise clients, sustaining 99%+ accuracy through SQL and automated validation checks.
I've built reusable Python and n8n workflows for reconciliation, reporting, and API ingestion, reducing manual processing by 35% and data-pull time by 70–80%. I also automated extraction from 5–6 external sources with Playwright, saving roughly 50 hours per week.
I design dashboards and self-serve internal data systems using PostgreSQL and Metabase, helping Finance and Analyst teams work from consolidated data across six sources.
My work also includes KPI analysis for new products, leading concurrent client projects, and mentoring junior analysts in SQL, automation, and data-quality practices. Earlier, I published research on COVID-19 record classification and deep-learning-based ECG signal digitization.
