Data Scientist/Machine Learning Engineer/NLP Engineer
This candidate has paused his search for new proposals.
Work experience
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).
Highlights
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
Looking for
I expect from my future job the opportunity to learn and improve my skills, get new and helpful experience and interesting projects.