Михаил Х.
начинающий специалист по анализу медицинских данныхI'm looking for position at the junction of Data Science and Medical Informatics, with possibility to apply text mining, statistical and machine learning methods to medical data.
Последнее обновление резюме | 02.09.2017 |
Адрес | Санкт-Петербург, Russian Federation |
Электронная почта | Заблокировано |
Телефон | Заблокировано |
Образование
Computational biomedicine
Applied Maths and Computer Science
Bachelor Thesis: Development of Visualization and Solver Connections Subsystem for Software Package for Data Analysis in Medicine
В чем вы сильны?
Areas of specialization
Data Science: data analysis, text mining, formats and protocols of data processing.
Natural Language Processing: information extraction, entity recognition, topic modelling.
Medical Informatics: medical information systems, clinical protocol development.
Professional skills
Languages: Python (main), R, MATLAB, SAS
Data processing and statistics tools: pandas, numpy, statsmodels, scikit-learn, matplotlib
NLP tools: NLTK, pymorphy2, Tomita-parser, gensim
Markup languages: HTML, XML, JSON, Wikitext
Other: git, LaTeX, Linux, SQL (basic), Django (basic). A lot of experience in scraping and parsing.
Open for improving existing skills and gaining new ones. Ready to learn other tools to work with.
Расскажите о себе что-нибудь еще: публикации, конференции, хобби
Additional education / Trainings / Affiliations
2015 Data Analysis with SAS — Higher School of Economics [certified]
2017 Neural Networks for Machine Learning — University of Toronto [Coursera]
2017 IV Summer Neurolinguistics School on Brain Stimulation in Language Research and Therapy — Higher School of Economics [certified]