Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 2

My last big project involved creating a system of sentiment analysis for Ukrainian and Russian language basically from nothing: I took part in designing the annotation guidelines and annotation processing, and then I have found the best tools for the job and built a good deep learning model which is now used in production.
For 3 years I have worked as data analyst in a think tank (working with datasets concerning economy and society in Ukraine and other countries).
After completing Data Science Summer School in Lviv and intensive 3-month Natural Language Processing (NLP) course from Projector, I started working as data scientist in a small company called Semantrum. My job included managing the process of annotating the data, cleaning and preprocessing the data, desigining and training machine learning models for different NLP tasks (named entity recognition, topic classification, clustering, sentiment analysis etc.). The primary tools I used were pandas, spacy, scikit-learn, keras and pytorch.
I would like to continue working in data science, especially (but not necessarily) if the work will contain elements from NLP and deep learning.
I am an open-minded person willing to try and learn new things, so I don't have particularly strong expectations towards the company. I believe that any type of company can be a good fit for me, if there are some interesting tasks and some professional people on the project.