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Clement Peng
Data Science - Machine Learning - Analytics - Forecasting - Visualization
Clement Peng is a high performing and reliable data science professional with 4 years of experience in the field.
He possesses adept data mining skills for dealing with high volumes of structured and unstructured data, along with strong abilities in large-scale machine learning using Python to derive business-relevant insights.
Clement Peng demonstrates solid skills in statistics, including predictive modeling, multivariate analysis, and regression analysis, and excels in presenting data to convey insights and drive actionable outcomes.
He has a proactive approach to embracing new technologies and skills, showcasing exceptional teamwork, positive work attitude, and outstanding leadership capabilities.
Clement Peng's specialties include data mining with Python, predictive modeling, complex forecasting, data visualization, text mining, web mining, customer relationship management, statistical model building and analysis, as well as leadership, communication, and organizational skills.
His educational background comprises studies at Zhuhai No.1 High School, The Ohio State University for a Bachelor of Science, both Masters In Industrial Engineering at The Ohio State University and Texas A&M University.
In terms of professional experience, Clement Peng has served as a Data Scientist at Facebook, previously held roles as a Data Scientist at Grand Rounds, Inc., Manager Of Analytics at Walmart, Data Scientist Expat at Asda, Industrial Engineer Intern at Hoerbiger, and Vice President Talent Management at Aiesec In The United States.