Data Scientist | AI & Sustainability | Citizen Scientist
I work at the intersection of machine learning, climate data analysis, and responsible AI. I combine self-directed learning with hands-on projects, from stellar light curves to geothermal climate anomalies.
Automated classification of pulsating variable stars using deep learning (ResNet18 + Transfer Learning). F1-Score: 0.802 | PyTorch | Transfer Learning | Astronomy
As a volunteer citizen scientist at Zooniverse / SuperWASP I manually classify stellar light curves. This project automates that process using machine learning.
A 75-year climate anomaly study of a geothermally active region in Bulgaria (1950-2024) using ERA5 reanalysis data. pandas | scipy | matplotlib | Open-Meteo API
The research question: does geothermal activity produce measurable, persistent climate differences over 75 years? The answer is yes, with statistically stable results over the entire observation period.
Languages: Python
ML and Data: PyTorch, scikit-learn, pandas, NumPy, matplotlib, Jupyter
Domains: Time Series Analysis, Computer Vision, NLP and LLMs, Bayesian Statistics
Sustainability and AI: Energy-Efficient AI, Environmental Impact of AI Systems, AI Ethics and Bias
| Certificate | Provider |
|---|---|
| Google Data Analytics Professional Certificate | Coursera / Google |
| Efficient AI for Weather Forecasting | openHPI |
| Practical Computer Vision with PyTorch | openHPI |
| Time Series Analysis | openHPI |
| Quantum Machine Learning (with IBM Quantum) | openHPI |
| Introduction to Bayesian Data Analysis | openHPI |
| Energy-Efficient Software Development | openHPI |
| Environmental Impacts of AI Systems | openHPI |
| AI Bias - Understanding and Mitigation | openHPI |
| Sustainability Reporting | Greenomy / Position Green |
I am a student of Economics at FernUniversitat in Hagen, Germany. As a volunteer citizen scientist at Zooniverse / SuperWASP I classify stellar light curves. I am passionate about AI for sustainability and responsible, energy-efficient AI. I am a self-taught data scientist who builds real projects with real data.
