Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 1

I have been studying computational linguistics at university for 5 years and have took part in several projects: Automatic Morphological Analysis of the English language, Automatic Morphemic Analysis of the Ukrainian language, Machine Translation (Ukrainian-English), Text-to-Speech System, Sentiment Analysis.

I took part in several hackathons, such as Smart techno, Media Hack Weekend, KPI Vision Hack.
I finished Stanford’s Open Course on Natural Language Processing (NLP) by Chris Manning and Dan Jurafsky and Machine Learning course by Stanford University (Andrew Ng).
This summer I attended Grammarly computational linguistics summer school.
Skills:
python
scikit-learn, numpy, pandas, NLTK, SpaCy, gensim
data visualization tools: matplotlib, plotly, django graphos
basic knowledge of SQL, HTML and CSS
NLP algorithms, machine learning techniques (Naive Bayes, SVM, Decision trees, Logistic Regression, K Nearest Neighbors, Kmeans)
databases: MongoDB
theoretical and practical knowledge of linguistics, including structural linguistics

Experience:
I have one year of experience at my startup, where I implemented Natural Language Processing algorithms, created databases and datasets, extracted entities from texts, made two systems: Text Summarization and Text Classification as well as Automated Morphological analysis for Ukrainian language

Also I have one year of experience working as data analyst/data scientist at Ocean.io, where I had to analyze, check and visualize data, that we had, mark up datasets, find similarity between different texts, create sentiment analysis tool (including multilingual)
I am looking for a job with interesting, challenging and complicated tasks mainly in the field of NLP. 
I want to be part of a team of experienced professionals of Data Science, where I can grow professionally, develop and improve my skills.