Experience

Parkside Interactive

• Austria
• IT Services and IT Consulting
• 1 - 100 Employee

• Head of AI & Data Science

  • Mar 2022 - Present

  We develop individual data science and AI software and deliver custom projects together with our customers. Our experienced data scientist and data engineers work on projects in different areas like the industrial, the energy or the financial services sector. We develop individual data science and AI software and deliver custom projects together with our customers. Our experienced data scientist and data engineers work on projects in different areas like the industrial, the energy or the financial services sector.


Selbstständig
• Photography
• 700 & Above Employee
• Freelance Data Scientist

  • Jun 2020 - Dec 2022


Kelag Energie

• Utilities
• 200 - 300 Employee

• Projektleiter Customer Analytics

  • Sep 2020 - Mar 2022

  Project Lead for the implementation of a central Customer Data Platform (CDP) in the sales department by using SSIS and SQL Server. Development of automated report environments in PowerBI with the CDP as the main data source.Development of predictive models for customer segmentation and churn prediction.

• Digital Trainee

  • Sep 2018 - Aug 2020

  Job rotation through different departments of the energy company Kelag Energie. 09/2018 - 02/2019 Sales Data Analytics03/2019 - 04/2019 Smart meter data analytics at the start-up Fresh Energy in Berlin, Germany (https://www.getfresh.energy/). 05/2019 - 08/2019 Sales Data Analytics at LEW (https://www.lew.de) in Augsburg, Germany.09/2019 - 02/2020 Risk Management: Risk Model development for prices and run of river (HMM, ARMA/GARCH).03/2020 - 08/2020. Customer Analytics, Data ScientistThe projects in germany were part of the digital booster programme at the parent group of Kelag, Innogy SE. Show less


Intel Corporation
• United States
• Semiconductor Manufacturing
• 700 & Above Employee
• Product Engineering & Data Mining

  • Aug 2017 - Aug 2018


Infineon Technologies

• Germany
• Semiconductor Manufacturing
• 700 & Above Employee

• Research Student

  • Apr 2017 - Jun 2017

  - Development of a new method for optimal Burn-In testing (article published in IEEE Transactions on Reliability). https://ieeexplore.ieee.org/document/8588395 - Development of a new method for optimal Burn-In testing (article published in IEEE Transactions on Reliability). https://ieeexplore.ieee.org/document/8588395


Alpen-Adria-Universität
• 1 - 100 Employee
• Tutor for Statistics

  • Mar 2017 - Jun 2017