Position: Computational Linguist
Category: Data Science
English level: fluent
Years of experience: 0


During NLP beginning course in Projector Online institute I learned next topics : Data Mining, Text Pre-processing, Textual Data Analysis, Semantic Analysis, Machine Learning for NLP, Text Representation, Topic Modeling, Text Classification, Rule-based vs Machine Learning Approaches.

My final project was based on Uklon’s (Ukrainian taxi app)
user feedbacks. The task was to simplify and to automate
process in company’s support team by prioritizing feedbacks,  sentiment analysis and classification by topics. For this task, I passed the whole NLP project cycle: data annotation and processing, EDA, text vectorization (TF-IDF/Word2Vec), testing several ML algorithms like Naive Bayes, Support Vector Machine, and Random Forest, model evaluation with correct metrics and fine-tuning, choose the model that best meets the client’s requirements.