Denis Sosnovskiy

Data Scientist @Porsche Engineering Services

Data Scientist✔️ ITData Analyst

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."

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Work Background

Data Scientist, Development Engineer

Porsche EngineeringData Scientist, Development Engineer

Apr. 2022Prague, CzechiaApplied advanced feature engineering to refine State-of-Health estimation and battery degradation analysis, elevating the precision and reliability of predictive models. Leveraged unsupervised ML for driver profile clustering, revealing patterns linked to battery degradation and informing life-extension strategies. Refined predictive model to accurately assess aerodynamics for diverse car configurations, boosting design precision and performance analysis. Conducted comprehensive data exploration and analysis on large datasets from various databases to extract relevant insights for battery analytics. Performed data transformation, restructuring, and feature engineering to meet the specific requirements of battery analytics projects, ensuring high-quality and actionable results.

Lectures on Advanced Chemical Kinetics for MS students

Novosibirsk State University (NSU)Lectures on Advanced Chemical Kinetics for MS students

Jan. 2021 - Dec. 2021

Scientific Researcher

Laboratoire Physique Théorique et Modèles StatistiquesScientific Researcher

Mar. 2017 - Apr. 2017Orsay, Île-de-France, FranceImplemented numerical algorithms to calculate spin effects in powder samples to explore mechanisms of polarization formation in solid state.

Research Fellow

International Tomography CentreResearch Fellow

Jan. 2015 - Apr. 2021Novosibirsk, RussiaConducted mathematical analysis of data from quantum chemistry calculations and magnetic resonance experiments to demonstrate the validity and benefits of using the quantum mechanical concept of Level Anti-Crossing for understanding polarization formation mechanisms.

Practical lessons on Molecular Physics for undergraduates

Novosibirsk State University (NSU)Practical lessons on Molecular Physics for undergraduates

Jan. 2015 - Dec. 2020

Laboratory Research Assistant

Institute of Chemical Kinetics and CombustionLaboratory Research Assistant

Sep. 2011 - May. 2014Novosibirsk, RussiaInvestigated reversible and irreversible reactions involving radical pairs in liquids. Developed a theoretical approach for the numerical analysis of linked molecular systems

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