I focus on Map Advanced Analytics & Lane Model Maps to enhance the quality and development of autonomous driving technologies.

• Lead the design of customer-facing quality metrics and KPIs used by engineering and sales teams to prioritize development and demonstrate product value.
• Own the end-to-end ETL lifecycle for complex geospatial data using PySpark and Python on Databricks, significantly reducing processing latency and improving data reliability.
• Built interactive Streamlit dashboards for real-time stakeholder monitoring, empowering non-technical teams to perform self-service analysis.
• Optimized High Definition (HD) map layer assessment methodologies using QGIS and GeoPandas, enhancing the accuracy and scalability of quality evaluation frameworks.

As a Data Scientist (Researcher), I focused on urban traffic efficiency and pollution-impacted routing strategies.

• Improved urban traffic efficiency by 20% through the development and implementation of ML-based routing algorithms and pollution-aware traffic models.
• Managed large-scale experimental datasets via robust Python and SQL ETL pipelines, ensuring data integrity for research and analysis.
• Partnered with international research teams (including DLR) for scientific publications and presented findings on data-driven mobility solutions at global conferences.
• Developed data-driven research proposals and utilized advanced statistical analysis to influence city planning and environmental policy.

Focused on sustainable city planning and traffic management during a research stay at DLR in Berlin.

• Developed geospatial predictive models for urban pollution forecasting using Python and Scikit-Learn.
• Monitored model performance and identified data drift, optimizing model accuracy to support environmental policy recommendations.
• Collaborated with interdisciplinary teams to analyze large-scale traffic datasets and derive actionable insights for sustainable urban development.

Focused on Computer Networks & Informatics Engineering education.

• Taught lab sessions in English for courses such as Design of Local Area Networks (LANs) and Network Technology.
• Managed group dynamics and mentored students to ensure academic success.
• Developed comprehensive lab manuals and technical assignments, aligning course materials with practical learning objectives.

As an Android Developer Intern at Sanpani, I worked on the development of an app for managing the data of biological activity in human cells. My responsibilities included:

• Collaborating with the development team to design and implement the app's features and functionality.
• Writing efficient and scalable code using Java.
• Conducting testing and debugging to ensure the app's performance and usability met the project's requirements.

Through this internship, I gained experience in developing Android applications and working in a team-based development environment.