基本信息
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职业迁徙
个人简介
15+ years of science and analytics experience in AIoT, e-commerce, CPG, retail and finance services. Built science organization, led R&D, and oversaw product development of ML-based product development and data-driven business strategies. drive cross-functional and cross-organizational collaboration with product and engineering organizations to build AI-based products leveraging NLP, speech recognition and multi-modal technologies; built and shipped capabilities in marketing measurement, shopper insights, self-service reporting and experimentation solutions.
Since August 2019, I have been leading a large group (that I built from ground up) of science, data and analytics organization within Alexa AI - ADS (Alexa Data Services), which owns ground truth labeling business for both Alexa and other teams within Amazon. With my team, I built science solution to protect end customer privacy, launched multiple products leveraging NLP and speech regonition to save labeling costs and enhance ground truth quality, and conducted foundational labeling science research of different data modalities and formats. I also lead data analysts and engineers innovating in BI tooling, metrics, measurement and insights.
Since August 2019, I have been leading a large group (that I built from ground up) of science, data and analytics organization within Alexa AI - ADS (Alexa Data Services), which owns ground truth labeling business for both Alexa and other teams within Amazon. With my team, I built science solution to protect end customer privacy, launched multiple products leveraging NLP and speech regonition to save labeling costs and enhance ground truth quality, and conducted foundational labeling science research of different data modalities and formats. I also lead data analysts and engineers innovating in BI tooling, metrics, measurement and insights.
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