Position: Python Developer
Category: Python
English level: upper
Years of experience: 7


Workplace5, May 2020 - now
Project 3: 
Retreive and process data for analysis using Azure infrastructure.
Simulator analysis - generate and implament ideas for user's actions in
simulator analysis .
Working on creating async applicaion for learning students using FastAPI.

Project 2: 
Telegram bot written on AIOGram

Project 1: 
Investment bank.
worked on implementing risk evaluation documents + some small services on
Flask.
Closely interacted with financial analysts.
Was used ETL tool to daily run graph of our jobs.
Technologies:
Azure services
Docker
Flask
Celery + Flower
Pandas and numpy for processing financial data
ControlM (ETL tool) writing jobs on XML level
Teamcity CI/CD + unittest + coverage


Workplace4, July 2019 - May 2020
Projects job
Web application development
RESTful API development
Database designing and management
Unit tests
Dropshipping platform
ETL
Amazon API
Data scraping

Workplace3, August 2018 - June 2019
Data analysis
BI tool development
Data scraping
Extracting information from structured and unstructured sources (pdf, complex xml/json)
Customer behavior understanding (ML)
CRM (Zoho CRM, Zoho Desk CRM)
Reporting
Process automation

Workplace2, December 2017 - August 2018
Time series forecasting - predicting cryptocurrency rate at the next moment.
Developing ML and DL algorithms using text features
Data scraping, gathering, cleansing, preprocessing,  - building pipelines to get features from raw data
Parsing several sources to get data
Different sources and formats - to one table
Texts to ML and DL models
Working with SQL and NoSQL data storages

Workplace1
November 2016 - December 2017
Engaged in EBRD projects
Responsible projects in different countries (Armenia, Moldova, Kyrgyzstan, Kazakhstan) 
Data mining, data preprocessing, data cleansing
Performing analytics for public procurement.
Develop tools with the usage of complex SQL queries
Working with Huge NoSQL database - Ukrainian procurement DB (using Elasticsearch, Neo4j).
Data visualization with Matplotlib, PlotLy