Maria Paulus
About Maria Paulus
Maria Paulus is a Data Engineer at ZEISS Digital Innovation in Munich, Germany, where she has worked since 2021. She holds a Master of Science in Physics and Astronomy from the University of Glasgow and has experience in data analysis and communication, with a background in astrophysics from the Max Planck Institute.
Work at ZEISS Digital Innovation
Maria Paulus has been employed as a Data Engineer at ZEISS Digital Innovation since 2021. She is based in Munich, Bavaria, Germany, and has contributed to various data-related projects over her three years in the role. Maria excels in both collaborative team settings and independent problem-solving, focusing on data challenges.
Education and Expertise
Maria Paulus earned her Master of Science in Physics and Astronomy from the University of Glasgow, where she studied from 2012 to 2017. Her educational background provides her with a strong foundation in analytical thinking and scientific methodologies. She possesses expertise in Python, data analysis, and effective communication, allowing her to present complex data insights to diverse audiences.
Background in Astrophysics
Prior to her current role, Maria worked at the Max Planck Institute for Extraterrestrial Physics as a PhD candidate in Astrophysics from 2017 to 2021. This experience allowed her to deepen her understanding of data analysis within a scientific context. Additionally, she served as a Senior Resident at the University of Glasgow for nine months in 2014-2015, further enhancing her academic and research credentials.
Skills and Tutoring Experience
Maria possesses a robust skill set that includes analytical skills, communication, and data analysis. She has experience tutoring junior team members, which demonstrates her ability to convey complex information effectively. Maria is adept at reporting results to audiences with varying levels of technical knowledge, showcasing her versatility in communication.
Career Aspirations
Maria Paulus is currently seeking a mid-entry level position in data science and data analytics. She aims for a role that offers the potential for a quick transition to a senior position, reflecting her ambition and readiness to advance in her career within the data field.