Dustin Pacholleck

- Improving Business Understanding by building up and maintaining dashboarding landscapes in Tableau. - Finding Business Potentials with machine-learning-based customer segmentations in Python - Delivering actionable and data-driven insights through ad-hoc requests and reporting with cloud-based solutions. - Increasing campaign uplift with AI-based campaign management.

Building up data-driven marketing, managing the campaign process and external contractors, business intelligence analyses, establishing ETL processes, creating reports and insight tools, and building dashboards.

Retail and Commercial Banking Training as certified banking professional, consulting retail and wealth clients, and small and medium commercial enterprises; overview of the treasury and controlling department Sales Management Renewing business case of the current account benefit program “Haspa Joker”, analyzing trends in payment behaviour, building KPIs for a mobile app solution, and evaluating the benefit of mobile payment Data Analytics Accompanying campaign process and ad-hoc analyses, building reports

Grade: 1,5 Major in Bank and Finance Thesis topic: Machine Learning for Churn Prediction – Does the Neural Net Provide a Better Approach for Churn Prediction of Retail Banking Customers than the Logistic Regression?