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Rob van Zoest has a diverse work experience in the field of data analytics and natural language processing. Rob most recently worked as the Health Analytics Lead at Anchormen since 2021. Prior to that, they worked as an Advanced Text and Data Analytics Freelancer at Innerdoc from 2015 to 2021, where they applied data analysis techniques using Python, R, and SQL, with a focus on advanced text analyses such as text mining and natural language processing.

In 2020, they worked as a Natural Language Processing Engineer at Inspectie Gezondheidszorg en Jeugd, where they conducted a workshop on NLP and developed a text processing pipeline for automated text analyses and information extraction using Python.

From 2019 to 2020, they served as the Product Lead BI - Interim at Medicore, where they were responsible for expanding the BI and analytics team, providing BI training, data modeling, and dashboarding using Qlik Sense in the context of mental healthcare.

In 2018, they worked as an Advanced Data Analytics - Interim at ING, where they built predictive models and performed data analysis for marketing purposes using Python, SAS, and SQL.

Throughout their career, they have also held interim positions at Staples Solutions, Leadinfo, Royal FloraHolland, and Nextail, where they specialized in advanced data analytics, text analytics, and web analytics using various tools and technologies such as Python, R, and RStudio.

Rob van Zoest's work experience demonstrates a strong background in data analytics, with expertise in advanced text and data analysis, natural language processing, and business intelligence.

Rob van Zoest completed their education in the following chronological order:

1. From 1995 to 2001, Rob attended De Goudse Waarden (VWO) where they obtained their Atheneum degree. No specific field of study was mentioned.

2. From 2002 to 2006, Rob attended Eindhoven University of Technology and earned their Bachelor of Science (BSc) degree in Industrial Engineering and Management Sciences.

3. Subsequently, from 2006 to 2009, Rob continued their studies at Eindhoven University of Technology and obtained a Master of Science (MSc) degree in Business Information Systems.

In addition to their formal education, Rob has also obtained various certifications, including:

- Certified Data Science Professional from DIKW Academy in July 2015.

- Prince 2 Foundation from NIMO Project Management Instituut & NIMO Academy in September 2009.

- A series of certifications in Natural Language Processing, including Natural Language Processing with Classification and Vector Spaces, Natural Language Processing with Probabilistic Models, Natural Language Processing with Sequence Models, and Natural Language Processing with Attention Models, all obtained from deeplearning.ai between June 2020 and October 2020.

- Masterclass Capaciteitsplanning in de Zorg from Zorgvisie in June 2022.