EvonikMachine Learning Scholar
May. 2022 - Sep. 2023Marl, North Rhine-Westphalia, Germany- Designed and implemented time series forecasting models with effective feature engineering to improve predictive accuracy. - Developed and deployed machine learning models for business applications, ensuring robust performance and scalability. - Created interactive dashboards for monitoring R&D workflows and extracting insights from laboratory data. - Built KPI dashboards for Technology Leadership, Finance, and Business teams to support strategic decision-making. - Developed and maintained digital tools using Power Apps to streamline and digitize RD&I department processes.