Dr. Alexander Wasserburger Email & Phone Number

Vienna, At

Wien, Österreich

I engage in pricing analysis, causal impact analysis to evaluate business decisions, and the development of ML models for lifetime value prediction, contributing to a holistic approach towards data-driven strategies for sustainable growth.

Wien, Österreich

Key accomplishments and responsibilities:- Developing and deploying a machine learning model using AWS Sagemaker and Snowflake for customer churn prediction, which is integrated into production systems to improve targeting for marketing campaigns.- Creating and implementing data-driven prioritization schemes for customer service, enabling more efficient allocation of resources to improve customer satisfaction.- Performing advanced statistical analyses and A/B testing to measure the impact of various business decisions.- Identifying new opportunities and developing strategies for leveraging data science models to drive business success, collaborating closely with cross-functional teams to deliver impactful solutions.

Wien, Österreich

Institute of Mechanics and Mechatronics, Division of Control and Process AutomationKey accomplishments and responsibilities:- Developed and implemented distributed optimization algorithms for large-scale powertrain optimization in Matlab and Python. The distributed optimization framework was integrated into a commercially available powertrain optimization tool of our industrial research partner AVL- Supervised predoctoral researchers and student employees, providing mentorship and guidance to facilitate their scientific development the success of the research projects they were involved in- Conducted modeling and analysis of the COVID-19 pandemic, leveraging statistical modeling and data science methods to predict hospitalization rates- Taught graduate-level courses in time series modeling and neural networks while also organizing and managing course logistics

Wien, Österreich

Institute of Mechanics and Mechatronics, Division of Control and Process AutomationKey accomplishments and responsibilities:- Modeled powertrains and driver assistance systems using machine learning methods- Developed stochastic optimization methods for emission reduction of powertrains under real driving conditions, resulting in significant improvements in fuel efficiency and environmental impact- Contributed to the field of statistical modeling of driving cycles for more realistic powertrain testing and calibration using test beds- Authored numerous peer-reviewed scientific publications and patents, and presented research results at several international scientific conferences- Taught university students in statistics and control engineering, and supervised theses and projects

Wien, Österreich

Key accomplishments and responsibilities:- Implemented and evaluated new estimation methods for the group-wide operational loss model using the statistical software R, resulting in a more robust and accurate model that improved risk management in the organization- Conducted quantitative stress tests mandated by the European banking authority- Supported data quality management

Doktor (Dr. Techn.), Regelungstechnik Und Prozessautomatisierung

Passed with distinction, 2nd prize in the "Fahrzeugverband-Jubiläumsstiftung 2021" Specialization in stochastic optimization PhD thesis.

Diplom-Ingenieur, Statistik Und Wirtschaftsmathematik

Passed with distinction Specialization in optimization and statistics Master's thesis: "Optimal Prevention and Treatment in a Dynamic Drug.

Bachelor Of Science (Bsc), Statistik Und Wirtschaftsmathematik

Passed with distinction