Client: US based Energy industry company Languages: Python Environments: Flask-Restful, MongoDB, Celery, requests, RabbitMq, Redis, Selenium, Docker, GCP. Position: Software Developer Activities: ● Participation in planning and estimating; ● Communications with PM, customers, back-end and front-end developers; ● Web application development, refactoring and optimization; ● Troubleshooting, profiling, performance tuning.

Emergency Room Scheduling Software Client: Major healthcare provider Description: The project’s focus is on automating the process of assigning patients to teams, based on a set of rules, showing service information depends on user role, forecasting daily volume of patients. Languages: Python, SQL Environments: Django, Django REST framework, Apache, Docker, MySQL, MongoDB, Redis, StatsModels, Prophet, XGBoost, Scikit-learn, pandas, numpy. Position: Software Developer Activities: ● Participation in planning and estimating; ● Communications with PM, customers, back-end and front-end developers; ● Web application development, refactoring and optimization; ● Integration Machine Learning algorithms; ● Troubleshooting, profiling, performance tuning.

Wondermall Client: IT services provider Description: A virtual shopping mall for iPad, gathering dozens of top brand stores on a single app. Languages: Python Environments: BeautifulSoup, lxml, Scrapy, Kibana Position: Software Developer Activities: ● Participation in planning, estimating and grooming sessions; ● Communications with the PM, back-end and front-end developers, QA engineers; ● Web application development; ● Troubleshooting, profiling, performance tuning.

Generating video signal Client: Plant Description: Implementation scheme in Active HDL for generating video signal, adding some service information and its further commutation in scheme. Languages: VHDL Environments: Active-HDL, FPGA, ISE Design Suite. Position: Software Developer Activities: ● Participation in planning, estimating and grooming sessions; ● Communications with developers, QA engineers; ● Embedded development; ● Troubleshooting, profiling, performance tuning.

Interface for exchanging hexadecimal data Client: Plant Description: The project’s aim was to create a custom solution based on RS232 interface for exchanging hexadecimal data between the computer and product (for testing purpose). Languages: C++ Environments: Qt Position: Software Developer Activities: ● Participation in planning, estimating and grooming sessions; ● Communications with developers, QA engineers; ● Embedded development; ● Troubleshooting, profiling, performance tuning.

Courses and trainings: ● “Intro to machine learning” in Coursera (Higher School of Economics). ● Data Science Summer School 2018 at Ukrainian Catholic University. ● Feature Engineering for Machine Learning in Udemy ● Feature Selection for Machine Learning in Udemy ● Testing and Monitoring Machine Learning Model Deployments in Udemy ● Python for Computer Vision with OpenCV and Deep Learning