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Freelancer Overview

I’m a product-and-operations professional with ten years of experience distilling messy data into crisp, action-ready insights. At WorkWhile, a flexible work platform, I support supply-demand matching and build KPI dashboards that surface trends in tens of thousands of shift records every week, partnering with engineering and data science to keep metrics trustworthy. Earlier, as a consultant at McKinsey & Company, I co-authored a nationally cited study on childcare and workforce participation—work that demanded rigorous data cleaning, statistical analysis, and clear narrative storytelling for executive audiences. My toolkit equips me to audit datasets for consistency, flag edge cases quickly, and document labeling guidelines that non-technical teammates can follow. I’ve led remote teams across multiple time zones, mentored new analysts, and delivered under tight deadlines. While I’m new to formal data labeling, the quality-control mindset I apply to operational analytics translates directly to meticulous, bias-aware annotation work, and I’m eager to bring that detail-first approach to your training-data projects.

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