Bhakti Patel

• Worked on Python-based models to predict the cross-linking of epoxy resins using Physics-Informed Neural Networks (PINNs). • Performed data preprocessing, feature engineering, and statistical analysis on experimental datasets to support model training and result evaluation. • Collaborated with cross-functional research teams to interpret results, refine model architecture, and present findings clearly.

• Assisted in organising the Salty International Conference at University of Bremen, handled venue logistics, scheduling, social media outreach, and on-site delegate coordination.

• Built and optimized Python-based data analysis tools using pandas, NumPy, and scikit-learn to support research workflows and improve algorithm performance. • Supported end-to-end data pipeline development, including data collection, cleaning, exploratory data analysis, and result interpretation. • Coordinated research activities through meeting preparation, documentation, and follow-up tracking to ensure smooth project execution.

• Delivered structured instruction in mathematics and statistics to undergraduate students. • Created individual learning plans and materials, adapting work to different student needs and tracking progress over time. • Strengthened communication, organization, and structured problem-solving skills through regular student support.