Position: Software Developer
Category: Python
English level: fluent
Years of experience: 8


Data Scientist
LoveCrafts - Remote, Ukraine | May 2021-June 2023

-Led a data science team to build a Django web application on AWS, employing ETL, CRUD, and Google Sheets API operations. Developed and implemented advanced machine learning models using Python and TensorFlow to optimize product pricing, resulting in a 20% increase in revenue.
-Engineered an internal web application using Django, JavaScript, and PostgreSQL, which replaced manual Excel-based systems. This upgrade led to a 50% reduction in errors and a 30% increase in process efficiency within the Retail and Marketing operations.
-Deployed scalable machine learning algorithms for dynamic product pricing across 50,000 products, leading to an overall margin increase by 8%.

Data Automation Specialist
LoveCrafts - Kyiv, Ukraine | Aug 2019-May 2021

-Utilized advanced data analytics to uncover profit-boosting insights from diverse data sets, driving a remarkable 21% surge in sales revenue.
-Developed a robust CRUD-based Python application to automate the dynamic pricing of clearance products, reducing problem stock by 50% and optimizing inventory levels.
-Led the development of integrated systems using Agile SDLC, which improved operational efficiency and reduced costs.
-Automated manual data tasks using Python, SQL, Django, and JavaScript, saving the retail team over 40 hours of work per week.
-Implemented automated data cleaning and preparation pipelines, reducing time spent on these tasks by 50%.

Procurement Specialist
National Lift Gate Parts - Cincinnati, Ohio, USA | Dec 2016-Aug 2019

-Developed operational forecast reports using machine learning models with Python, Scikit-learn, TensorFlow, Pandas, and Git, achieving a 15% improvement in inventory turnover.
-Designed and implemented a web scraping tool using Python, BeautifulSoup, and SQL, automating the capture and comparison of competitor product prices, leading to a 13% increase in market share.
-Developed an ETL system within a Django web app on Heroku to process scanned documents, using Python libraries OpenCV and Tesseract OCR for word-level translations. This pipeline reduced manual processing time by 30%.
-Maintained and presented weekly business performance KPIs to stakeholders, leveraging data analytics to drive business development, productivity, and process improvements.