I am a dedicated Data Scientist and Researcher with a strong analytical mindset, methodical problem-solving abilities, and a rapid aptitude for mastering new skills. Passionate about optimizing approaches to ensure high-quality results, my experience includes effective communication with stakeholders to deliver clear product visions. Based in Prague, Czech Republic.
At Porsche Engineering, I specialize in applying advanced analytics to enhance predictive models for battery health, crucial for the automotive industry. Using unsupervised machine learning, I analyze driver behaviors that impact battery degradation, contributing directly to life-extension strategies. Leveraging Python, MATLAB Simulink, and expertise in feature engineering, I develop data-driven solutions enabling accurate predictions of battery State of Health (SOH).
Previously worked as a scientist specializing in computational physics and simulations, with a research focus on Nuclear Magnetic Resonance and magnetic-spin effects in molecular systems. I hold a PhD in Physics, providing a strong foundation in the field."More...