Thibaut Donis

• Analyzed and translated business requirements into technical solutions resulting in new or improved client implementations. • Managed and updated SQL databases to stay up to date with clients’ evolving data. • Automated internal data checks and processes, improving overall efficiency.

• Developed a fully automated statistical analysis software for signal processing in Python. • Created simulation software to mimic real-world electrical networks.

• Transformed and updated a data pipeline into a Python API, allowing for modularity and reusability for different projects.

• Explored potential data uses and conducted initial explanatory data analysis using Python and SQL, presenting possible AI-driven solutions.

• Developed an automated testing software that streamlined the entire process, from input and on-device testing to results analysis, enabling researchers to save time on setup and conduct more tests efficiently.

• Thesis: Extending the Elo Rating System for Dependent and Polytomous Items: Simulation Studies in an Online Testing Environment. (R studio) • courses: Adv. Time Series Analysis, Adv. Analytics in big data, multivariate Statistics, Data Visualisation in DS, GLM

• Thesis: Investigating the influence of cyclic input in the cAMP signalling pathway. in collaboration with MERLN. (MATLAB, VCELL) • courses: Software Engineering, DSA, Large Scale IT and Cloud Computing, Intelligent Systems, Data Analysis, Machine Learning, Graph Theory