Freelancer profile translated to English.
Back to original languageAbout Waldemar
As a PhD-qualified atmospheric scientist with over four years of experience analyzing, cleaning, and modeling complex research data at the Max Planck Institute for Chemistry, I now help companies, research teams, and startups to efficiently analyze data, identify patterns, and present results in a clearly understandable manner.
My focus is on Python (pandas, NumPy, scikit-learn), statistical modeling, machine learning, and developing reproducible analysis workflows. I work in a structured, precise, and solution-oriented way – remotely or on-site in the DACH region for workshops and consultations.
Whether it's exploratory data analysis, a machine learning model, time series analysis, or a visual dashboard: I combine scientific accuracy with technical implementation strength to deliver clear, robust results that support decision-making.
German
Native or bilingual
English
Fluent
Can work on-site
Mainz (up to 50km)
Experience
- Waldemar Schledewitz Data Science ConsultingFreelance Data Analyst / ConsultantDIGITAL AND ITNovember 2025 - Today (7 months)Bingen am Rhein, GermanyI support companies, research institutions, and startups in transforming raw data into actionable insights.Specializing in data analysis, machine learning, and data visualization with Python (pandas, NumPy, scikit-learn, Matplotlib, Plotly).Offering consulting on data workflows, automation, and statistical analysis to enable data-driven decisions.I combine scientific accuracy with practical implementation and focus on clear, understandable results.Preferably remote, flexible regarding project duration and scope, in German or English.Supporting companies, research institutions, and startups in transforming raw data into actionable insights.Specialised in data analysis, machine learning, and visualisation using Python and related tools (pandas, NumPy, scikit-learn, Matplotlib, Plotly).Providing consulting on data workflows, automation, and statistical evaluation to improve decision-making.Combining scientific precision with a practical approach to deliver clear, reproducible results.Available for remote projects in German or English, flexible in scope and duration.
- Max-Planck-Institut für ChemieResearch Associate (Postdoc)RESEARCHFebruary 2021 - March 2025 (4 years and 1 month)Mainz, GermanyAnalysis of complex atmospheric measurement data with Python (pandas, NumPy, SciPy, Matplotlib).Development of statistical models for the evaluation of experimental datasets and trend detection.Data preparation, cleaning, and visualization for scientific publications and project reports.Collaboration in international, multidisciplinary research teams.Focus: Application of data-driven methods to environmental and climate processes.Conducted advanced data analysis on large and complex atmospheric measurement datasets.Developed and applied numerical and statistical models using Python and MATLAB to identify trends and patterns in environmental data.Created visualizations and analytical reports for research publications and collaborative projects.Focused on data modeling, statistical analysis, and data visualization to support scientific insights and decision-making.Worked in international, interdisciplinary teams and contributed to high-impact environmental research.
- University of ManchesterPhD Researcher / Data AnalystRESEARCHSeptember 2016 - May 2021 (4 years and 8 months)Manchester, United KingdomResearch and data analysis in the field of atmospheric sciences.Development of numerical models to investigate environmental and climate processes.Statistical evaluation of experimental and simulated datasets using Python and MATLAB.Preparation and visualization of results for publications and conferences.Close collaboration in international, interdisciplinary teams.Conducted data-driven research in atmospheric sciences, focusing on the analysis and modeling of complex environmental datasets.Developed and optimized numerical and statistical models to study chemical and physical processes in the atmosphere.Performed extensive data analysis and visualization using Python and MATLAB, ensuring reproducible and transparent results.Collaborated in international research teams and contributed to peer-reviewed publications and conference presentations.
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Education
- AbiturHerzog-Johann-Gymnasium2007Abitur
- DiplomaJohannes Gutenberg University Mainz2016Diplom