Dennis Twesmann

• Validating and curating geospatial datasets (Points of Interest) by verifying entity attributes across multiple sources • Conducting data quality assessments to identify inconsistencies and improve dataset reliability • Evaluating search result relevance based on structured guidelines aligned with user intent • Translating ambiguous user queries into clear evaluation criteria for consistent result assessment • Assessing alignment between system outputs and user expectations within defined frameworks

• Managed an experimental data pipeline capturing time-series, environmental, and imaging data • Analyzed large-scale datasets to identify patterns in experimental outcomes • Structured and classified experimental outcomes to support data-driven decision-making • Designed iterative experiments based on analytical insights • Ensured data quality and reproducibility through systematic validation and documentation • Collaborated across research groups to interpret results and guide experimental work

- Strong research-focused international master's program - Thesis domain: Molecular Structural Biochemistry