Data Analyst & Data Engineer & Data Manager & Data Scientist

Kandidát je postdoktorand so skúsenosťami s vývojom matematických modelov a experimentálnymi štúdiami v oblasti dynamiky tekutín a prenosu tepla/hmotnosti. Prešiel na oblasť dátovej vedy, pričom sa špecializuje na techniky strojového učenia a analýzu údajov. Ovláda Python, SQL a rôzne nástroje na vizualizáciu údajov. Zručný vo vývoji algoritmov na predpovedanie dopytu a optimalizáciu cien. Rodený hovorca ukrajinčiny a ruštiny, plynulá angličtina, stredne pokročilá znalosť srbochorvátčiny.

• 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.