Pascal Debert

- Expanded market research methods (used R Shiny and Python for development) - Implemented statistical techniques (multiple regression analysis, hierarchical Bayesian modeling, clustering, and speech-to-text) - Maintained and improved applications based on feedback from stakeholders - Provided method tutoring and assistance to market researchers for client projects - Contributed informative social media content - Supervised interns and working students - Prompt engineering for production purposes

assisted clients in the implementation of market research projects - methodological consulting - conception of questionnaires - field support - data analysis - drove the development of new methods with colleagues

Statistical Analysis using R -> Cohort Analysis (Mostly data wrangling and visualization with tidyverse, DT, reshape2) -> building classification algorithms with random forest classifier and xg-boost Managing AWS Services -> Managing IAM-User roles -> Starting applications with elastic beanstalk using images from dockerhub -> Data visualization in metabase -> locally mounting s3-buckets Support HR department hiring data scientists -> checking DS sample tasks

- Recruiting - Onboarding - KPI Tracking - Agile Project Work

Teaching students to use SPSS for statistical analysis. - Statistical modelling - Linear/Logistic Regression - ANOVA - Exploratory Data Analysis - Plotting

Business Psychology

Personal- und Organisationspsychologie