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    Uwe Kirsten

    Senior Data Scientist

    Uwe Kirsten is a seasoned Senior Data Scientist with a diverse background in various data-analytical roles for over 20 years, exemplifying expertise in turning raw big data into actionable insights, predictions, and value-added recommendations for businesses across multiple industries.

    With a post-doctoral study in financial-economic policy-making from Erasmus University Rotterdam and specializations in econometrics, international economics, and international environmental policy, Uwe's educational journey reflects a strong foundation in data science and analytics.

    Throughout his career, Uwe has held key positions at prominent organizations like Terberg Business Lease Group B.V., Government, Knowit BV, Devoteam, KPN, and more, showcasing his adaptability and expertise in leveraging data to drive business growth and decision-making.

    Uwe's technical skillset includes proficiency in a wide array of coding languages such as Spark/Pyspark, Python, R, SQL, SAS Enterprise Guide, and tools like Azure Machine Learning and Databricks, enabling him to handle big data technologies and deliver sophisticated data-driven solutions.

    With a robust library of tools such as numpy, scipy, matplotlib, pandas, scikit-learn, TensorFlow, and more, Uwe is well-versed in deep learning, machine learning, predictive modeling, and statistical analysis, enhancing his capabilities to extract meaningful insights from complex datasets.

    Uwe's expertise extends to a range of visualization and statistical tools including Tableau, Power BI, ggplot, matplotlib, SPSS statistics, Excel, Spotfire, among others, reinforcing his ability to present data in a visually compelling manner and derive actionable conclusions for stakeholders.

    Being fluent in multiple languages including Dutch, English, German, and French, Uwe brings a global perspective to his work and collaborations, making him adept at engaging with diverse teams and audiences.

    Uwe's wealth of experience across various industries such as government, e-commerce, insurance, research, and IT services positions him as a versatile data scientist capable of adapting his skills to meet the unique challenges and requirements of different sectors.

    Uwe's project links demonstrate his hands-on experience in working on impactful initiatives like breast cancer research, showcasing his commitment to leveraging data science for social and scientific advancements.

    In summary, Uwe Kirsten's career trajectory reflects a data-driven professional who combines technical prowess, industry knowledge, and soft skills to drive business success through insightful data analysis and strategic decision-making.

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    Location

    Amsterdam, North Holland, Netherlands