Position: Data Scientist, NLP Engineer
Category: Data Science
English level: fluent
Years of experience: 3

As a NLP Engineer I have been working in Natural Language Processing sphere for 3 years.

Below you can see my achievements in NLP:

Realized projects using NLP technologies:

Detection of the biased information in media:
A web of trolls was detected with the help of Data Science algorithms. Stages - web-scraping, development of the language model, data preprocessing - tokenization, lemmatization, developing an ML classifier, sentiment analysis.

Twitter Security Project:
Discovered and identified the accounts which disseminated hate-speech, fakes. 
Stages - web-scraping, development of the language model, data preprocessing - tokenization, lemmatization, POS tagging, developing an ML classifier

Social Media Comments Analysis:
Search for bias in a corpus of Facebook, Instagram comments on defined topics.
Stages - web-scraping, development of the language model, data preprocessing - tokenization, lemmatization, developing an ML classifier

Detection of the  narratives in media. Sentiment Analysis.
web-scraping, development of the language model, data preprocessing - tokenization, lemmatization, developing an ML classifier. 

Sentiment Analysis for texts in English, Finnish, German using Pytorch, Transformers

NER extraction in texts written in English, Bahasa with BiLSTM-CRF, PyTorch

Python Data Science toolkit: Jupyter Notebook, Scikit-learn ,Pandas, Numpy, Matplotlib/Seaborn, Scipy, Keras, TensorFlow, Transformers, PyTorch

Databases: SQL, PostgreSQL

NLP libraries: NLTK, Spacy, Gensim, Stanford CoreNLP

NLP techniques for text representation: TF-IDF, Word2Vec, semantic extraction, data structures and modeling

Methods of information extraction: NER, terminology extraction, keywords extraction

Machine Learning key techniques and concepts for NLP tasks:  regression, trees, SVM, ensembles

Deep Learning frameworks: Keras, Tensorflow, Pytorch
3 years experience in NLP

Sentiment Analysis, Topic Modeling, Text Summarization, Text Classification, Text Clustering, Keywords Extraction