Position: Junior Data Scientist
Category: Data Science
English level: upper
Years of experience: 0

•	Create image classification model for predicting melanoma disease by picture of human mole;
•	Find and clear big amount of data from noise objects near of moles;
•	Construct CNN various models, measure their quality (accuracy, roc auc score, confusion matrix, F1 score, etc) and chose optimum one;
•	Modernize data by different methods of data decomposition, for instance: PCA, kernel PCA, NMF, etc.;
•	Grid optimization of various hyperparameters with cross-validation evaluation;
•	Get model with the most stable learning values of accuracy, val-accuracy, loss, val-loss, visualize them and plot polynomial approximation and residuals error area of learning lines.
Student of 4-th course experience executing data-driven solutions to increase efficiency, accuracy and utility of data processing. Experienced at creating data regression models, using predictive data modeling, analyzing different measurements of evaluating models and visualization of various statistical graphs.
Have studied mathematical statistics, mathematical analysis, probability theory, optimization methods, numerical methods, etc.