Position: Data Scientist/Machine Learning Engineer/NLP Engineer
Category: Data Science
English level: intermediate
Years of experience: 0.5

LVIV DATA SCIENCE SUMMER SCHOOL                                                                                            Lviv, Ukraine                                                                                                                               Jul 2018 – Aug 2018
Courses: Statistical Inference, Machine Learning, Data Visualization, Computer Vision, Natural Language Processing.

GENESIS DATA SCIENCE SCHOOL                                                                                                     Kyiv, Ukraine                                                                                                                                  Jan 2018 – Mar 2018
Skills: Business intelligence (A/B tests, Tableau), Data Science (Machine Learning, Recommendation Systems, Natural Language Processing, NN).


Курсы:
How to Use Git and GitHub https://classroom.udacity.com/courses/ud775

Bertelsmann Data Science Challenge Scholarship Course https://classroom.udacity.com/courses/ud002-bert

SQL Fundamentals course from SoloLearn https://www.sololearn.com/Certificate/1060-3748579/pdf/

Python 3 Tutorial course https://www.sololearn.com/Certificate/1073-3748579/pdf/

Intro to Python for Data Science Course https://www.datacamp.com/statement-of-accomplishment/course/7d9f79c607087ced4db511b6f0186b4871d4937a

Intermediate Python for Data Science Course https://www.datacamp.com/statement-of-accomplishment/course/ed3821451105eae94b971d77ee84f52b77eef517

Математика и Python для анализа данных 
https://www.coursera.org/account/accomplishments/verify/9HGHCKJEWNLB
ЦЕНТР КОНТЕНТ­-АНАЛІЗУ (Nov 2018 ­ - May 2019)

 Hand on experience with NLP (python, sklearn, pymorphy, nltk, fuzzywuzzy).
 Developed model of sentiment analysis in news (based on dictionary).
 Created news clusterization and classification by themes (TF­IDF, k­means, logistic regression,
naive Bayes, SVM, levenshtein distance, cosine similarity, LDA, LSA).
 Developed model of news coverage.
 Worked on date parser and date converter to a standard format (dateparser, yargy, dateutil).
 Worked with database (postgreSQL, mongodb, redis, elasticsearch, neo4j).
I expect from my future job the opportunity to learn and improve my skills, get new and helpful experience and interesting projects.