Data Analyst & Data Engineer & Data Manager & Data Scientist

The candidate is a postdoctoral researcher with experience in developing mathematical models and conducting experimental studies in the field of fluid dynamics and heat/mass transfer. They have transitioned to Data Science, specializing in machine learning techniques and data analysis. Proficient in Python, SQL, and various data visualization tools. Skilled in developing algorithms for demand forecasting and price optimization. Native in Ukrainian and Russian, fluent in English, with intermediate proficiency in Serbo-Croatian.

• 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.