Position: Data scientist
Category: Data Science
English level: upper
Years of experience: 6

Developed ML-models and algorithms and implemented in production:

Fraud detection
Spam detection
Bad content detection
Risk indicators system
Automotized routine manual tasks for colegueas
by creating reports, web applications, dashboards.
Leaded analytics support for ML-projects

Courses passed: Stanford courses for Machine learning and Deep learning
Area of responsibilities and finished projects during career

Data science:

- User segmentation
- Time series forecast
- Price prediction
- Transaction clustering
- Churn detection
- Fraud detection
- Spam detection
- NLP
- Implementation of scientific articles

Data analytics:

- Analytic of paid services price changes
- Analytic of machine learning models
- Data visualization(KPI's,  ML model metrics, other)
- Automation of business processes
- E-commerce analysis
- KPI reports
- Data quality reports
- Ad-hoc queries
- Algorithms efficiency analysis
- Bad content detection
- Development of risk methodology
- Development, analysis and testing of index-indicators and risk-indicators
- Segmentation of procuring entities
- Statistical research of trader behavior. 
- Applying statistic to detect behavioral bias
- ML models results analysis

Skills and Qualifications:

- SQL: Postgres, MySQL, AmazonRedshift, Presto 
- noSQL:  Elasticsearch, MongoDB
- Relational Data Base: indexes, optimization, ACID, DDL, ETL
- Programing languages: Python - main, familiar with R
- Data visualization: Tableau, Google Data Studio
- Data science:
--  Supervised: linear, tree decisions, boosting, regression, ensemble algorithms, regressions
--  Unsupervised algorithms
--  Probability Theory 
--  Statistics

- Web scraping - bs4, including asynchronous scraping
- Web applications: python libraries like streamlit, dash
- API development - FastAPI implementation
- Google API spreadsheets
- Slack API
- Data structures

Familiar with: OOP, Deep Learning, Algorithms
Product companies is first priority
but also interested to try to work in outsource/outstaff companies