Johanna Regenthal

Department: Customer Intelligence & Engagement - Personalization Intelligence - Conceptualization and implementation of recommendation systems for various interfaces such as print, email, and webshop - Feature engineering, model training and tuning of Collaborative Filtering and Content-Based Filtering models to optimize recommendation accuracy and relevance - Collaborating on the implementation of ML projects on the Google Cloud Platform to ensure seamless integration into production environments

Department: Customer Intelligence & Engagement - Personalization Intelligence - Conceptualization and implementation of recommendation systems for various interfaces such as print, email, and webshop to enable personalized user experiences - Feature engineering, model training and tuning of Collaborative Filtering and Content-Based Filtering algorithms to optimize recommendation accuracy and relevance

Abteilung: Strategic Market Insights - Consumer & Business Insights | Management von nationalen und internationalen Marktforschungsprojekten | Produktmanagement im operativen Bereich (Statista Global Consumer Survey) | Prozessoptimierung für Datenanalyse

Abteilung: Strategic Market Insights - Consumer & Business Insights | Management von nationalen und internationalen Marktforschungsprojekten | Produktmanagement im operativen Bereich (Statista Global Consumer Survey) | Datenanalyse und -auswertung

Abteilung: Strategic Market Insights - Consumer & Business Insights

Abteilung: Strategic Market Insights - Consumer & Business Insights

Thesis: "Comparative Analysis of Feature Extraction Methods to Predict Dropout in Digital Mental Health Interventions based on Text Data" Schwerpunkte: Machine Learning | Natural Language Processing | Network Analysis

Thesis: "Nachhaltiges Verbraucherverhalten: Eine Analyse des Zusammenhangs zwischen Ernährung und Umwelt" Schwerpunkte: International Management | Personalpsychologie