Jesse Haenen

Jesse Haenen

Machine Learning Engineer @ NewCraft

About Jesse Haenen

Jesse Haenen is a Machine Learning Engineer currently working at NEWCRAFT in Amsterdam, Netherlands. He has a background in data science and political science, with experience at various companies including Xomnia and TIP Trailer Services.

Work at NewCraft

Jesse Haenen has been employed at NewCraft as a Machine Learning Engineer since 2022. In this role, he focuses on deploying machine learning models for major clients in the commercial and retail sectors. His work involves utilizing tools such as Airflow and Airbyte for data ingestion, pipelines, and orchestration. Additionally, he engages in database and analytics engineering using dbt and participates in DevOps practices with GitHub actions and Google Cloud Platform (GCP).

Previous Experience in Data Science

Prior to his current position, Jesse Haenen worked at TIP Trailer Services as a Data Scientist from 2019 to 2022. He also held a Junior Data Scientist role at Xomnia for one year in 2019. Additionally, he completed a Data Science internship at Company.info for three months in 2019. His experience spans various aspects of data science and machine learning, contributing to his expertise in the field.

Education and Expertise

Jesse Haenen studied at the University of Amsterdam, where he earned a Bachelor of Science (BSc) in Political Science and International Relations from 2013 to 2017. He also completed a Master of Science (MSc) in Data Science (Information Studies) at the same institution from 2018 to 2019. Furthermore, he achieved a Minor in Programming and a Minor in Data Science & Artificial Intelligence during his studies. He briefly studied Politics at The University of Manchester in 2016.

Technical Skills and Tools

Jesse Haenen possesses a range of technical skills relevant to his role as a Machine Learning Engineer. He utilizes tools such as Airflow and Airbyte for data ingestion and orchestration. His work includes deploying machine learning models and engaging in database and analytics engineering using dbt. He is also involved in DevOps practices, leveraging GitHub actions and Google Cloud Platform (GCP) to enhance project efficiency.

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