Integration of multiple data sources into the SAP-EHS system to ensure that safety-critical data in reports remains up to date. Development of a user interface for users & compliance team to monitor safety information.

• replaced external solution, achieving risk mitigation
• MVP; successful testing in Compliance, Regulatory & Laboratory

Integration of multiple data sources into an automated laboratory system to generate machine instructions for chemical production and monitor manufacturing processes in the lab.

• prototype demo, project approval from the lab team & steering committee
• MVP rollout reducing effort for generating lab instructions by >95%

Provided essential legacy SAP-EHS system data for integration into modern IT systems. Improved efficiency and reduced risk by connecting safety critical SAP data to new platforms.

• Developed ETL pipelines and data transformation processes to make legacy data usable
• Exposed data via API, improving data quality for downstream services

Developed software to accelerate innovation processes in laboratories. Utilized AI and statistical methods to create optimized experiment plans, increasing innovation speed and saving resources.

• Developed proof-of-concept, project approval by steering committee
• Expanded the prototype and validated it with laboratory colleagues
• Deployed the solution and facilitated a broader rollout in laboratories

Developed a software solution for forecasting and monitoring land & property values for large-scale investors. Integrated geospatial data, statistical models and machine learning to support investment decisions.

• Scalable ETL pipeline for processing large geospatial datasets
• Validation of machine learning & statistical predictions using historical data
• Deployment and company-wide rollout for all investment decision-makers

Development of software to support consultants in location analysis for industrial companies. Integration of large volumes of geospatial data and company-specific location factors.

• Automated data pipelines, reducing analysis effort by 33%
• User interface for non-technical consultants to easily utilize data
• Company rollout, reducing total report work hours required by ~12%