Ching-Hsi Lee is a seasoned machine learning engineer and data scientist with extensive experience in data analysis, modeling, and insights generation across various industries. Currently at PayPay Corporation since April 2022, Ching-Hsi excelled in roles such as data science assistant manager and data scientist at Rakuten from May 2019 to April 2022. Previous experience includes big data analysis at trivago and senior media analysis at MassiveImpact, where Ching-Hsi demonstrated exceptional skills in ad campaign performance and user behavior analytics. Educational qualifications include a Master of Science in Statistics from Humboldt-Universität zu Berlin and a Bachelor of Science in Public Health with a focus on Biostatistics from National Taiwan University. Proficient in technologies such as Python, AWS, and SQL, Ching-Hsi effectively combines technical acumen with strategic thinking in data-driven environments.
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