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

Achieved 3'td place in IASA DS Champ, a hackathon for Ukrainian students interested in Data Science, Machine, and Deep Learning. This result was achieved by demonstrating strong skills in teamwork, machine/deep learning, data analysis, model building, and feature engineering.
My projects:
1. Exploring the Limits of Transfer Learning with T5.
Evaluated the performance of the Text-To-Text Transfer Transformer(T5) model for such NLP tasks as text summarization and question-answering. The evaluation process involved fine-tuning the model specifically for each of those tasks.

2. Arrhythmia detection.
Obtained quite-good results for the classification task of heart contractions, with an aim to detect arrhythmias, by applying the DL model.

3. Movie recommendation system.
Successfully implemented an efficient movie recommendation system, which based on collaborative filtering and SVD, can recommend you a film.

4. How to become more efficient. 
The study of the relationship between students' efficiency and factors that can negatively affect it, among which are poor sleep quality, high stress, and depression levels. 

Furthermore, I have actively contributed to an open-source project by enhancing the functionality of the computer vision library, Kornia. My specific contribution involved implementing the Random Snow data augmentation method.
As a data scientist, I expect to work on various complex business problems that will require working with large volumes of data and developing different machine or deep learning models. I am looking for a position that will allow me to work with great people and to continuously improve myself, by learning something new and by and growing in my career.