Experience

Team Gesundheit GmbH

• Germany
• Health, Wellness & Fitness
• 1 - 100 Employee

• Data Manager

  • May 2017 - Present

  Responsible for the statistical aspects of several studies of diverse types.• Data modelling and management• Performing analyses of the datasets gathered from studies• Participating in diverse projects in different areas of the company• Communicating the results via reports and presentations using Power BI• Planning and leading projects resulting in scientific publications and conference posters• Permanent process optimization Responsible for the statistical aspects of several studies of diverse types.• Data modelling and management• Performing analyses of the datasets gathered from studies• Participating in diverse projects in different areas of the company• Communicating the results via reports and presentations using Power BI• Planning and leading projects resulting in scientific publications and conference posters• Permanent process optimization



HAVI

• United States
• Holding Companies
• 700 & Above Employee

• Marketing Analyst

  • Feb 2014 - Apr 2017

  Responsible for:• Statistical Analysis (Logistic Regression, variable selection using LASSO method)• ETL process: extraction - transformation - loading in the DWH (SAS Enterprise Guide)• Creation, administration and maintenance of data from multidimensional database on different servers• Integration of internal and external data sources as well as the creation and further development of the Global Promotion DWH• Technical implementation of SAS process automation• Check and maintain the data quality • Creation and development of SAS processes to create automatic outputs for the regular reports• Develop and optimize a standardized Key Performance Indicators (KPI) to measure the global promotion performance support the decision making (using SAS )• Permanent system and process optimization• Forecasting• Ad hoc analysis



Hoist Finance

• Sweden
• Financial Services
• 500 - 600 Employee

• Financial Analyst

  • 2013 - Jan 2014

   Ensuring data consistency using SQL Deviation analysts create and analyze (budget vs. actual comparisons) Review of existing and development of new curves for modeling future cash flows using Excel Create ad hoc analyses Preparation of monthly and annual financial statements Visualization and presentation of results  Ensuring data consistency using SQL Deviation analysts create and analyze (budget vs. actual comparisons) Review of existing and development of new curves for modeling future cash flows using Excel Create ad hoc analyses Preparation of monthly and annual financial statements Visualization and presentation of results



IPA Institut für Prävention und Arbeitsmedizin

• Statistician

  • Jun 2011 - Jun 2013

   Data Management Descriptive analyzes Data Cleansing Descriptive Analysis Logistic regression (OR, 95% CI) Variable selection by: Stepwise method, LASSO and LARS Meta-analysis (meta-analysis by Comprehenseve) Spline approach and stratified analysis Experience in the field of database use, planning, implementation and evaluation of epidemiological studies Participation in the preparation of the final reports and scientific publications of various research fields of occupational medicine using SAS



TU Dortmund University

• Germany
• Higher Education
• 700 & Above Employee

• Student Research Assistant

  • Oct 2011 - Sep 2012

  Section Robust time series analysis Section Robust time series analysis



MUC Research GmbH / MVZ Karlsplatz

• Wissenschaftliche Mitarbeiterin

  • Jul 2008 - Sep 2010

   Data Management Data entry, data collection in epidemiological / clinical studies Preparation of study data, coding and classification of the occurred diagnoses and drugs as well as creating from follow-up reports Create plausibility checks and queries  Data Management Data entry, data collection in epidemiological / clinical studies Preparation of study data, coding and classification of the occurred diagnoses and drugs as well as creating from follow-up reports Create plausibility checks and queries