I am a motivated Python developer, hoping to further use my development experience and problem-solving abilities to build and enhance applications for different engineering, industrial and scientific purposes.
I have studied and worked with Python, improving my experience and extending my knowledge with each fulfilled project. While developing Python software, I thoroughly plan the architecture for each individual project.
I am especially concerned with the flexibility and extensibility of a project structure. I try to plan layers of abstraction, which provide the most convenient API and further growing of the project
Also, I have expertise in administration and organisation. I ran my own company for developing and administering websites and e- commerce.
I use Python 3 or Anaconda distribution as an interpreter.
I use PyCharm as an excellent IDE, effective and powerful for software development and debugging.
I use PyQt for creating a convenient graphical user interface application, for providing convenient window interaction between an application and a user.
I have an experience with database engineering, and data processing.
- import prodicts data from MySql database located on external server (e-commerce website)
- retrieve prodicts data from Excel file
- comparing obtained data, processing them
- export data back to MySql database (e-commerce website), updating and adding a products
- application was developed and installed on local computer, with convinient PyQt interface
On github
Using modules: PyQt, mysql.connector, xlrd3
Company: MyStockmart (website https://mystockmart.ru)
- import prodicts data from MySql database located on external server (e-commerce website)
- processing html code in prodict descriptions, cleaning and reformatting it
- export data back to MySql database (e-commerce website), updating and adding a products
- application was installed on local computer
Using modules: Beautiful Soup, mysql.connector
Company: MyStockmart (website https://mystockmart.ru)
- retrieve prodicts data from Excel file
- perform data processing
- export data to MySql database (e-commerce website)
- application was installed on local computer
I have used Panda for retrieving data from a large Excel file (product list). Retrieved data were then processed and sent to an e-commerce web site (directly to its MySQL database deployed on a server)
On github
Using modules: Panda, mysql.connector
Company: (website http://www.salut-deti.ru)
- retrieve prodicts data from Excel file
- perform data processing
- export data to MySql database (e-commerce website)
- application was installed on local computer
On github
Using modules: mysql.connector, xlrd3
Company: Personnel certification system (website https://rssp.online/)
- get web-pages corresponding chosen query and options
- parsing html-code of these web-pages
- performing data processing, including extra filtering and quotation
- configuring cloud VPS, installation Anaconda and Flask
- export data to special web page, made using Flask and deployed on VPS
On github
Using modules: Flask, requests, Beautiful Soup
2020 - Python developer certificate from «Specialist» Computer Training Centre, Bauman Technical University (Moscow)
