Headline

Physicist | Machine Learning & Data Analytics | Algorithm Development | Python, MATLAB

About

I am a physicist with a strong background in applied physics, mathematics, and data-driven modeling. I hold a Master’s degree in Applied Physics and a Master’s degree in Mathematics, and my work focuses on machine learning, data analysis, and visualisation. During my Master’s thesis, I developed and validated machine-learning models in Python and worked with simulated and experimental datasets, including numerical analysis, feature engineering, and model evaluation. I also gained hands-on experience with data analysis, measurement data, and technical documentation during my work at Fraunhofer ISE. I am looking to continue my career in roles related to machine learning and data analytics, particularly in environments that combine data-driven methods with research or engineering applications. I am especially interested in positions such as Data Scientist, Machine Learning Engineer, or Data Analyst.

Location

Greater Bremen Area

Work experience

Masters Student at The University of Freiburg, Jun 2024 - Present · 2 yrs, Germany, • Conducted a master's thesis project focused on machine learning to determine ligand field parameters of SMMs. • Compared two different model architectures to evaluate performance and accuracy. • Analyzed data and visualized results using Origin, enhancing the interpretation of findings. • Solved inverse problems, contributing to advancements in machine learning applications. • Simulation of synthetic datasets for model training and evaluation. • Data preprocessing, feature engineering, and visualization (Pandas, Matplotlib, Plotly) • Structured documentation and presentation of results

Masters Student at Universität Freiburg, Jun 2024 - Jul 2025 · 1 yr 2 mos, • Selbstständige Planung, Organisation und Durchführung eines wissenschaftlichen Projekts. • Strukturierte Dokumentation und Aufbereitung von Forschungsergebnissen. • Präsentation und Diskussion wissenschaftlicher Ergebnisse im akademischen Umfeld. • Analyse, Auswertung und Visualisierung komplexer Datensätze. • Simulation synthetischer Datensätze zur Modellvalidierung.

Hiwi at Fraunhofer-Institut für Solare Energiesysteme ISE, Nov 2022 - Apr 2023 · 6 mos, Freiburg, • Conducted pouch cell testing to determine aging factors. • Optimization of experimental test setups to improve measurement accuracy and efficiency • Numerical evaluation and analysis of sensor and measurement data • Validation of experimental results through comparison with analytical and empirical models • Technical documentation and presentation of results for research teams

Research Assistant at Fraunhofer ISE, Oct 2022 - Mar 2023 · 6 mos, • Unterstützung von Forschungsprojekten durch strukturierte Analyse und Auswertung von Messdaten. • Numerische Auswertung, Analyse und Interpretation von Messdaten. • Validierung experimenteller Ergebnisse durch Vergleich mit analytischen und empirischen Modellen. • Erstellung technischer Dokumentationen und strukturierte Präsentation der Ergebnisse.

Education

masters of physics, Engineering Physics/Applied Physics, The University of Freiburg

Master's degree, Mathematics, Banasthali Vidyapith