Ning Wang

Ning Wang

Machine Learning Engineer Ii @ sennder

About Ning Wang

Ning Wang is a Machine Learning Engineer II at sennder in Berlin, Germany, specializing in automated pricing solutions. With a diverse background in both the chemical industry and logistics, Wang holds a PhD in Computational Science from Ruhr University Bochum and has previously worked as a Data Scientist at BASF.

Work at sennder

Ning Wang has been employed at sennder as a Machine Learning Engineer II since 2023. In this role, he focuses on developing and implementing machine learning models tailored for automated pricing solutions within the logistics sector. His position in Berlin, Germany, reflects a commitment to advancing machine learning applications in the logistics industry.

Education and Expertise

Ning Wang completed his undergraduate studies at Northwestern Polytechnical University, where he was part of the Honors College from 2008 to 2011. He furthered his education at the same institution, earning a degree from the School of Materials Science and Engineering from 2011 to 2014. He obtained a PhD in Computational Science from Ruhr University Bochum, studying from 2016 to 2019. This educational background equips him with a strong foundation in both materials science and computational techniques.

Background

Ning Wang has a diverse professional background that spans both the chemical industry and the logistics sector. His experience includes working as a Data Scientist at BASF from 2021 to 2023, where he gained valuable insights into data science applications. His transition to a Machine Learning Engineer role at sennder indicates a strategic shift towards leveraging machine learning in logistics.

Achievements

During his career, Ning Wang has specialized in building and deploying machine learning models, particularly for automated pricing solutions. His work in this area demonstrates his ability to apply data science and machine learning techniques effectively within the logistics industry. His contributions to the field reflect a focus on enhancing operational efficiency through advanced technology.

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