Data Scientist | Ph.D. in Physics | Python Expert | AI Enthusiast | SQL | Machine Learning | NLP | Predictive Analytics |...

3/2023 – 2/2024

Part of the team developed Data-Driven Model for Waste Management Optimization in Berlin, Germany
• Led the data cleaning and pre-processing team (40+ members globally) and ensured the waste management data collected from multiple sources through web scraping were suitable for analysis.
• Part of the team developed a machine learning model that accurately predicts the air quality index in Gurugram, India, using AI (Python and Scikit-learn)

Natural Language Processing, Pandas, Projektmanagement (IT), Python, Machine Learning

6/2019 – 11/2023

Developedahigh-performancemodel(utilizingFORTRAN)encompassingthephysicsandchemistryofstar-forming regions, achieving a remarkable speed of solving over 1000+ partial differential equations in under 2 minutes. The research yielded critical insights into the role of turbulence in star formation.
• DevelopedadatavisualizationtoolusingJupytertoanalyzeandvisualize800+chemicalreactions.Thetoolreadsthe output in ASCII and Hierarchical Data Format (HDF) file formats, enabling insightful exploration and interpretation of reaction data.

Astronomie, Data Science, Physik, Big Data, Objektorientierte Software-Entwicklung, Fortran, Python, Engineering data management (EDM)

8/2018 – 2/2019

• DevelopedandimplementedaPython-basednumericalmodeltoaccuratelysimulateandanalyzespatialdistributions of objects within a simulated environment, incorporating position, acceleration, and velocity data. Utilized advanced algorithms to enhance the accuracy of the model’s predictions by 20%.
• Analyzed the simulation results using python-Matplotlib, producing insightful graphical outputs. Expertly handled missing data and anomalies during the analysis process. Identified trends and patterns in the data, leading to a 15% improvement in decision-making processes for spatial analysis tasks.
• Authored comprehensive reports presenting the findings and implications of the simulations, providing valuable insights for data-driven decision-making and spatial analysis tasks.

Astronomie, Data Science, Physik, Python, Scientific computing / wissenschaftliches Rechnen