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    Lena Hu

    Data Scientist@Metro-Goldwyn-Mayer - Business Intelligence - Product Analysis - Machine Learning

    Lena Hu is a highly skilled data scientist with a strong background in quantitative analysis, specializing in consumer analysis and product insights. With over 3 years of experience, Lena's expertise encompasses data engineering, business intelligence, statistics, machine learning, and natural language processing.

    Her proficiency extends to various tools and languages including SQL, Python, and Tableau. Lena is also well-versed in data infrastructure tools such as AWS, Snowflake, Hadoop, and Spark.

    Education-wise, Lena Hu pursued a Master of Science in Business Analytics from Fordham University, where she achieved an impressive GPA of 3.87 out of 4. She also holds a Bachelor of Economics from the Central University of Finance and Economics, with a total GPA of 85.88 out of 100 and a Major GPA of 88 out of 100. Furthermore, in high school, she ranked in the top 0.1% in the College Admission Examination at NO.1 Middle School Affiliated to Central China Normal University.

    Throughout her career, Lena has held pivotal roles including Data Scientist at EPIX, Data Analyst at the United Nations, Design Lab Technical Member at Fordham Gabelli School of Business, Assurance Intern at PricewaterhouseCoopers, Risk Analyst Intern at Guotai Junan Securities Co., Ltd, and Team Member at Global Entrepreneurial Program.

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    Jiayu Hu | People | Master of Science in Machine Learning and Data ...

    Related Questions

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    Lena Hu
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    Location

    New York, New York