Data Analyst & Data Engineer & Data Manager & Data Scientist

Der Kandidat ist ein Postdoktorand mit Erfahrung in der Entwicklung mathematischer Modelle und der Durchführung experimenteller Studien auf dem Gebiet der Strömungsdynamik und der Wärme-/Massenübertragung. Er/sie ist in den Bereich Data Science gewechselt und hat sich auf Techniken des maschinellen Lernens und der Datenanalyse spezialisiert. Sie beherrschen Python, SQL und verschiedene Datenvisualisierungstools. Erfahren in der Entwicklung von Algorithmen für Nachfrageprognosen und Preisoptimierung. Ukrainische und russische Muttersprache, fließend in Englisch, mit mittleren Kenntnissen in Serbokroatisch.

• Developed and optimized mathematical models of chemical kinetics
• Utilized ML techniques to process and analyze MS data
• Conducted mathematical simulations and experimental studies of fluid flow and mass transfer in biomedical microfluidic platforms
• Designed and implemented microfluidic structures such as micromixers and cell traps

• Modeled and visualized structures using particle tracing and concentration distribution methods

• Conducted mathematical simulation and experimental study of Marangoni convection

• Performed numerical and experimental studies of refractive surface curvatures in response to local heating
• Developed liquid lenses based on Marangoni convection
• Implemented mathematical models into code for scientific literature research and review

• Developed algorithms for rental market demand forecasting and price optimization

• Performed data ETL and preprocessing

• Conducted exploratory/explanatory data analysis and visualization
• Developed algorithms for rental market demand forecasting and price optimization
• Handled QA and issues investigation, as well as results visualization and presentations for stakeholders

• Utilized Python, SQL, Machine Learning techniques, and statistical analysis

• Conducted scientific literature research, review, and data extraction

• Developed mathematical models for various applications
• Implemented mathematical models into code
• Utilized Python programming, data ETL and processing, and data visualization techniques

Overall, Oleksandr Maliuk is a former researcher in Physics with a PhD degree, who transitioned to Data Science and has experience in developing mathematical models, conducting research, and implementing algorithms for data analysis and forecasting.