Maria is a data analyst with a unique educational background in sociology, philosophy and diversity studies. She aims to combine her creative streak and passion for problem-solving to help make the most of company decision-making through comprehensive reporting and data visualizations.
During her studies, Maria acquired knowledge of various methods of empirical social research, including the application of multivariate data analysis and the use of statistical software programs. She was able to hone these skills as a project manager for Community & Data in a women’s leadership network, where she analyzed the community development based on relevant data and offered recommendations for the further improvement of the network based on the results.
Maria enjoyed working with data so much that she was inspired to complete an online training program in data analysis focusing on Excel, Tableau, SQL, and Python, which paved her way to the Data School.
She is deeply curious, loves to learn and to dive into various topics which grants her the ability to draw connections between complex data sets and uncover critical insights. This is highlighted by her unique visualizations which offer broad access to her analysis.
Analytical skills: Data Cleaning, Data Wrangling, Data Merging, Descriptive Analysis, Deriving Variables, Data Visualization, Data storytelling
Tools: SQL, Python, Tableau, ExcelBefore Data School
Working Experience:
PANDA | The WOMEN LEADERSHIP NETWORK, Project Lead Community & Data (February 21 – July 24)
Bertelsmann SE & Co. KGaA, Diversity Management Intern (April – September 2020)
Educational Background:
Data Analytics Certification, Careerfoundry (2023)
Master of Arts in Diversity Studies (2021)
Bachelor of Arts in Sociology & Philosophy (2017)