Experience

Below you find some info about my professional experience and educational background, both from academic training as well as online courses and boot camps.

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Experience

Since Jan 2025 Data Scientist at Storytel

June 2023-December 2024 Data Scientist at Annalect

  • Initiated the optimisation of a marketing-mix modeling pipeline, drastically reducing modeling time.
  • Designed and implemented an anomaly detection pipeline for multi-touch attribution models, decreasing quality control time by 80%.
  • Significantly influenced team development by leading weekly data science team meetings, mentoring new colleagues, and conducting workshops on coding best practices, process improvements, and professional development.
  • Successfully delivered machine learning and analytics projects (e.g. customer segmentation, driver analysis, audience targeting optimisation) to several top-tier international clients.

May 2022-May 2023: Data Scientist at Nepa

  • Development and maintenance of over 250 brand tracking and customer experience dashboards, ensuring seamless continuous deployment and driving enhanced data-driven decision-making.
  • Improved data visualisations, significantly extending functionality, which resulted in increased sales and additional revenue streams.
  • Organised and led weekly hands-on study sessions on study session on NLP and AI, fostering team collaboration and innovation, and successfully building several POCs for business use cases.
  • Designed and implemented a unit testing strategy to ensure code quality and identify issues early in the development process.

February-April 2022: Data Scientist at Unforged

  • Developed text classification models to detect harmful content in informal language settings, enhancing platform safety and user experience.
  • Collection and integration of text datasets, ensuring high-quality data for robust model training.
  • Developed and applied custom text-document representations and embeddings, significantly boosting the effectiveness and precision of the models.

August-September 2021: Data Scientist in the Science to Data Science program

  • Evaluated the effectiveness of social media data to analyse shifts in behaviour and attitudes on various topics, leveraging NLP and advanced machine learning techniques.
  • Delivered a successful proof-of-concept that established social media listening as a reliable tool for real-time consumer behaviour insights, adding significant value.

2018-2021: Postdoctoral Researcher at Stockholm University

  • Designed and led large-scale experiments on language processing and brain representation, resulting in a published article in a leading journal, Applied Linguistics, showcasing significant contributions to the field.
  • Facilitated team building by coordinating weekly lab meetings, leading journal clubs, and mentoring master’s students and lab assistants, contributing to a collaborative and well-supported lab environment.

2017-2018: Postdoctoral Researcher at IQS Austria

  • Designed, developed, and validated a UX-centric language assessment and training tool for children, in close collaboration with diverse stakeholders, resulting in a user-friendly product that supports both teachers and students.
  • Successfully launched and rolled out the tool, which is now actively used by thousands of teachers across Austria, leading to improved language assessment and training efficiency.
  • Organized and delivered seminars on linguistics, language development, and language assessment to hundreds of teachers, principals, and language therapists throughout Austria, leading to increased expertise and application of best practices in educational settings.

2016-2017: Lecturer (part-time) at University of Salzburg

  • Taught undergraduate and graduate courses on experimental methods in linguistics and on the neurolinguistic foundations of second language acquisition.

2014/2015: Visiting Postgraduate Researcher at University of Edinburgh

  • Collaborated in an experiment on incremental language comprehension in a thriving lab environment.

2011-2015: Doctoral Researcher at University of Salzburg

  • Conceptualized, designed, implemented, conducted, analysed, and wrote-up a number of electrophysiological and behavioral experiments on predictive and semantic sentence processing in a first and second language.

Formal Education

2017 PhD (Dr. rer. nat.) in Linguistics at the Centre for Cognitive Neuroscience and Department of Linguistics, University of Salzburg, Austria, with research stays at the University of Edinburgh, UK.

2011 Master of Science (MSc) in Psycholinguistics with distinction at the University of Salzburg, Austria.

2009 Bachelor of Science (BSc) in Linguistics at the University of Salzburg, Austria.

Other Learning

2024: Learning Apache Airflow by LinkedIn Learning

2024: Machine Learning in Production by Deeplearning.AI on Coursera

2022: Machine Learning by Stanford University & DeepLearning.AI on Coursera

2022: Intermediate Machine Learning on Kaggle

2022: Python for Machine Learning & Data Science Masterclass on Udemy

2021: Statistical Learning on Stanford Online

2021: Science to Data Science

2021: Data Science with R Track on DataCamp.

2021: Python for Data Science, AI, & Development on Coursera