Position: Data Scientist/Data Analyst/ Data Engineer
Category: Data Science
English level: upper
Years of experience: 2

Automatisation regular tasks, which are part of production. Implementing algorithm for outliers detection, good performance, high roc auc score.
Junior data scientist
* Comparing advantages of usage preventive maintenance for high loaded vehicles, other than while equipment failure occurs.
* Project using Bayesian networks (health field)

Technologies: Python(pandas, numpy, matplotlib), openAiGym, Reinforcement learning.

Big Data Analyst / Engineer
* Exploratory data analysis
* A/B tests
* Visualization
* AWS data services
* Building tools for data quality and monitoring
* HTTP
* Monitoring data completeness, reporting and fixing gaps
* Setting up Monitoring dashboards

Big Data Engineer
* Building ELT/ETL pipelines
* Creating Airflow dags
* Dockerizing solutions
* Spark
* AWS (EMR, S3, Athena, Redshift, ECR, ECS)
* Gitlab CI

Technologies:
Python(pandas, matplotlib, numpy), Grafana, Airflow, Spark, AWS ( Athena, Redshift, EMR, ECS, S3), PostgreSQL, MySQL, Gitlab, Jira, Confluence.

Pet projects:
* weather service (Django, postgresql, docker), 
* Analysis car prices (SQL, bigquery, beautifulsoup, pandas, bumpy, matplotlib, sklearn).