Stephanie Brückner

Data science lead at Roche and recent graduate from Hochschule Lucerne with 5 years of work experience in project management, risk management, data analytics and forecasting. I want to make use of existing data to add to a company's value. I believe the use of AI and data-driven technologies can help us shape the world of tomorrow, allowing for better understanding, better predictions, and better decision-making processes.

Profile: Analytical thinking and eye for essentials, organized and independent way of working, technophile and hungry for knowledge, eloquent and creative writing, motivated and open-minded personality

Roche Diagnostics Int. AG | Data Science Lead (Jan 2023 - today)

• Data science lead for development of inventory optimization and consumption forecasting engines to generate data-driven inventory level recommendations (Python)
• Data science lead for inventory optimization and consumption forecasting pilot projects with a selected Roche customer
• Use of agile project management methods (Scrum) to guide team and support smooth project conduction; development, implementation and tracking of project roadmap and milestones; code review to ensure project quality; stakeholder communication

Roche Diagnostics Int. AG | Internship as Data Scientist (Feb 2022 - Dec 2022)

• Application of probabilistic time series forecasting (using statistical as well as deep learning models) to accurately predict customer consumption as part of proof-of-value project including exploration and theoretical background analysis of probabilistic forecasting methods (Python)
• Successful conduction of consumption forecasting proof-of-value project for selected

Roche customers in the role of code developer, use of agile project management methods to support team in smooth project conduction, support of setting goals and strategies, review and optimization of work processes, stakeholder communication

Demografik | Data Scientist and Sub-Project Manager in Demographic

Data Projects (Jun 2021 - Oct 2021)

• Successful conduction of forecasting project estimating personnel demand for a customer company in the role of sub-project manager and code developer
• Acquisition, cleaning, preparation, exploration, analysis and visualization of data

SBB AG | Risk Manager Projects Nord-Süd-Achse Gotthard, Knoten (May 2018 - May 2021)

Bern and Durchgangsbahnhof Luzern

• Identification and steering of risks in projects, risk analysis on program level incl.

conduction of regular risk workshops

• Management-appropriate preparation of the information, stakeholder communication

Hochschule Luzern | MSc in Data Science and Applied Information

• Master thesis on Probabilistic customer consumption forecasting for supply chain optimization at Roche Diagnostics
• Study program in English, GPA of 5.45 (out of 6)
• Conduction of group and individual projects with focus on time series forecasting,

NLP, network graphs, image classification, database management systems using SQL and NoSQL (Postgres, MySQL, MongoDB), ETL pipeline creation and automated workflow execution (Apache Airflow), visualization (Tableau and basic webapp creation with Dash and R shiny)

Universität Luzern | BA of Cultural Studies (Major Sociology)

• Bachelor thesis on Generation Y - Generationstypische Traits und deren

Auswirkungen am Arbeitsplatz