Moscow, Russian Federation
My name is Inna Besheva. I am a data analyst from Moscow.
For five years I’ve been studying mathematics in Lomonosov Moscow State University. My scientific work in university is connected with NLP. I've done experiments with vector representation of words using word2vec technology. After that I've developed recurrent neutral networks using Tensorflow for solving text classification and sequence labelling problems.
I've worked in the audit department of Sberbank (the biggest russian bank) as a data scientist. My job projects were connected with time series modelling, computer vision (pedestrian detection) and text mining (analysing of responses from different websites).
This June I've took part in LxMLS 2018 (8th Lisbon Machine Learning School). The main topic was NLP. Now I am doing Advanced Machine Learning Coursera course. Also I am always ready to study something new for the project!
English, Russian
numpy, pandas, matplotlib, scikit-learn, xgboost, catboost, gensim, keras, open cv, nltk, re
Artificial Intelligence (AI), Data Science, MySQL, Natural Language Processing, NumPy, Pandas, Selenium, TensorFlow