Valery Kvan

• Conducting A/B tests for comparison of drug concentrations and biological markers to estimate their efficacy and safety for treatment of malignant health outcomes. • Developing time-to-events nonlinear regression models for the prediction of different health outcomes, which helped to expand business to new territories. • Analyzing customer needs to transform them into tasks for productive management of company’s resources. • Preparing visualization and documents of analysis for the customers

• Developed predictive models (PyTorch, Gradient Boosting and Random Forest) for health risk assessment, which would be used as tools for prevention treatment. • Researched causal relationships between diabetes/cardiovascular incidents and epidemiological and genetic data using ML and A/B tests to improve preventive treatment. • Wrote several articles about insights from data analysis of clinical data

• Developed BRep geometry processing algorithms in C++ for to expand features of the product. • Optimized 3D geometry analysis modules, reducing the performance of some algorithms by 30%. • Created API documentation in English using Doxygen and prompt engineering to make API more transparent for new customers

• Developed algorithms in C++ to make projections of 3D models of a building into blueprints to automate work of engineers of a customer, which reduced their time-costs. • Researched and implemented cutting-edge 3D geometry processing techniques from articles • Managed my tasks according to Agile approach for a rapid development of a product