Piyush Jadhav

I’m a Data Analyst with 4+ years of experience turning data into decisions across technology, financial services, and education. I’m skilled in SQL and Python analytics, building dashboards and reports, defining KPIs, and translating complex findings into clear recommendations for stakeholders and senior leadership. I’m especially strong in data quality and QA, A/B testing, behavioral analytics, and process improvement across the full analytics workflow—from extraction to insight delivery.

At Apple, I partner with cross-functional engineering, operations, and algorithm teams to run large-scale data-labeling initiatives. I defined and enforced QA standards, built automated quality-scoring workflows, standardized labeling guidelines, and created a confidence-calibrated scoring framework to validate automated quality against dual-reviewer ground truth—supporting decisions across 50,000+ records. Previously, I built Python ETL pipelines, interactive Streamlit dashboards, and behavioral analytics (funnel analysis and cohort segmentation) to improve retention, and I delivered fraud detection analytics and optimized reporting performance to improve anomaly response and processing speed.