Position: data engineer, datascient
Category: Python
English level: fluent
Years of experience: 3


1)	Building forecast system:
•	forecast benchmark for prediction sales per sku/brand/ATC Python (Sarima, Prophet, Exponential smoothing etc.)
•	ETL process for getting and saving results Airflow (Docker version)
•	MongoDB for saving models and turning parameters (Docker version)
2)	Building price recommendation system (Clustering, Classifier)
3)	Building telegram bot for working with IT services site:
•	aiogram + requests (Rest API) + SQLAlchemy
•	CI/CD Gitlab + Jenkins
4)	ETL process of fact sale per pharmacies Azure Databricks + Synapse 

5) Building automate analytic system from scratch:
• creating analytic base SQL Server 2008/2014 (MS SQL)
• ETL process Apache Airflow +Python (SQLAlchemy) from many sources (MS SQL (1C), Mysql, Google analytics etc.)
• deploy tabular model (SSAS)
• deploy SSIS
• deploy Power BI report server
6) Building Ad-hoc reporting system together with analytics of the company ( Power BI)
7) Building classification model (Python - sicit-learn) for predicting successes/not of buying of current goods from tv broadcast of our TV channel. Deploy web interface (Python - Flask) for model
8) Client Clustering (k nearest neighbours sicit-learn)
Web developer