Position: Product Data Analyst
Category: Data Analyst
English level: upper
Years of experience: 2

NLP clustering of texts, Name Entity Recognition.
I am working as a Data Analyst and have some solutions as a Data Science .
1. Automatization of scripts
    1.1 Why?: To save time for other projects
    1.2 Tools: Google_drive_Service
    1.3 Result: save time from all day task to 40 min task
- Machine learning projects(clustering)
    2.1 Why?: To resolve task: find patterns in array of texts(count 300k-2 billion)
    2.2 Tools: NLTK, Word2Vec, sklearn
    2.3 Result: makes report with patterns of text, and counts of this pattern examples
- Making module tools for work with warehouse.
    3.1 Why?: to load so much data for long period of time, where disposable load doesn't work
    3.2 Tools: date, datetime, timedelta, cx_Oracle
    3.3 Result: script which loads so much data for long period of time