Arnish Thesiya

Developed an automated LCA workflow integrating Python (olca-ipc, olca-schema, pandas) with OpenLCA, reducing manual modeling by ~75%. Applied it to a plastic bottle (production phase) and BMW headlight (cradle-to-grave), with parameterization and sensitivity analysis on 11+ variables. Identified key impact drivers (e.g., 18 kg CO₂ eq./kg for headlight mass) and modeled PV-powered scenarios achieving 87% CO₂ eq. reduction. Visualized results via tornado/radar/heatmaps.

• Performed LCA-based CO₂ impact assessments during product development using OpenLCA and Ecoinvent; in alignment with ISO 14040/14044 standards. • Contributed to the development of a parametric LCA model for a BMW headlight, including data collection, LCI modeling, process linking, and impact assessment; managed reusable datasets and supported structured sustainability data modeling for internal Fraunhofer projects.