Position: Data Scientist
Category: Java
English level: upper
Years of experience: 1.5

Won comprehensive scholarship for Erasmus joint double-degree program in Odesa Mechnikov university and Universita Studi dell'Aquila and finished with 98/110 grade.
-- Data Science projects

1)  APS Failure at Scania Trucks. Python (Data Analysis and ML)
• Got insights from data by cleaning and using different plotting techniques.
• Trained different ML models (Logistic Regression, KNN, SVM, RF) and
found the best one.

2) Quality classification of molded products via Machine Learning and Control Theory
• Conducted data preprocessing, applied standard regression and classification techniques (Linear Regression, Regression Trees, Random Forest, Gradient Boosting, SVM), upgraded techniques, control theory algorithms and compared the results to find best.
• Utilized Python with libraries: numpy, scipy, pandas, scikit-learn, matplotlib, seaborn
 
-- Junior Software Engineer - Netcracker Technology

Worked at “Shopping cart” component of the product in 3 projects with a team of 12, a team of 3 and a team of 7.

Worked on code refactoring, which increased the speed of the work of colleagues during further interaction

Optimized the process of adding a new product to the customer cart and enhanced the code according to data provided

Mentored new comers to help them understand the company's product, technologies and their responsibilities

Participated in daily brief sessions to present the work done and show the results of implementation to seniors

Followed agile methodology to ensure timely delivery of software projects