Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 4


Mostly I work with text and tabular data, thats why I often use NLP technologies for different tasks.
Also, this experience allows me to combine these approaches in different tasks to create new features.
My commercial projects:
Web-site classificator (multilabeling), Online-store detector, "Red-flag" sites, CTR Predictor, also I implement some ready solutions and made experiments with generative models as GPT, Reccomendation system for Online-store,  predictive model of user income (ngr) at the foreign iGaming project, tools for text using Transformers, forecasting approval, score, adaptive price etc. 
I used different technologies, for example Keras, Sklearn for building models (or implement other productive models such as LightGBM or Transformers). I also can make my own algorythms to solve difficult and non-standart problems. 

I`d like to continue my experience with text and tabular data or explore something new and interesting.