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Senior Data Analysis with 9+ years in Data Analysis & Machine Learning
Data Analyst and Data Visualization Specialist with over 10 years of experience in scientific and data-driven environments. Proven expertise in analyzing complex datasets and transforming data into strategic insights through SQL, Python, statistical analysis, and machine learning. Skilled in designing interactive dashboards and KPI reports using Power BI, Tableau, and Python to support performance monitoring and data-driven decision-making. Developed predictive models with up to 76% accuracy, contributing to the optimization of marketing strategies and achieving cost reductions of up to 30%.
Edison School
Master Data Analytics
May 1, 2025 – January 1, 2026
Christian-Albrechts-Universität zu Kiel
PhD in Applied Geophysics · Applied Geophysics
January 1, 2017 – October 1, 2020
Freelance
Data Analyst
February 1, 2026 – Present
Italy
Christian-Albrechts-Universität zu Kiel
Researcher
October 1, 2020 – June 1, 2025
Germany
Christian-Albrechts-Universität zu Kiel
PhD in Applied Geophysics
January 1, 2017 – October 1, 2020
Germany
Mayerfeld Practicum Program® in the field of Data Analysis
Mayerfeld Consulting (Berlin)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse background, including a PhD in Applied Geophysics and subsequent transition into data analysis, indicates adaptability and a strong learning orientation. Their experience in international research and multidisciplinary teams suggests a collaborative mindset. The freelance work and pursuit of a Master's in Data Analytics while working show a proactive approach to career development and a commitment to the field, aligning well with a culture that values continuous learning and initiative.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, stakeholder communication, and team coordination skills through their project descriptions and academic experience. Their ability to work in international and multidisciplinary teams suggests good operational fit for collaborative environments. The freelance experience highlights initiative and business acumen in applying data analysis to real-world problems.