Position: Data Analyst
Category: Data Analyst
English level: fluent
Years of experience: 1.5

• ACM International Collegiate Programming Contest semi-final, South-Eastern European Region - Honourable Mention (2019) • ACM International Collegiate Programming Contest quarter-final, Eastern Region - third place (2019) • Karazin University Programming Cup - first place (2016)
I have recently completed the "Machine Learning" course at Hillel IT School with an Excellent grade. This course consists of 20 lectures and 14 homework assignments and suggests using Python. During the three-month programme, I gained practice implementing the most advanced and innovative machine learning techniques. For instance, I achieved 99.51% accuracy in MNIST handwritten digit classification problem using Convolutional Neural Networks (CNN). In addition, I studied and implemented several NLP algorithms: from Word2Vec and CNN approaches to LSTM and BERT, to identify and classify toxic online comments. The course incorporates an introduction to Decision Trees, Random Forest and LightGBM as well. During my first year at university, I did a part-time Machine Learning internship at Galactic Exchange - a US-based software company. I implemented the K-Means clustering algorithm, used PCA for dimensionality reduction and predicted house prices with Linear Regression. Currently, I am looking to secure a Data Scientist/Machine Learning Engineer position to utilize my skills and knowledge.