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 (NLP), Pandas DataFrame, Projektmanagement (IT), Python, Standard ML (SML)

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 Programmierung (OOP), 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