Oxana Matveyuk
About Oxana Matveyuk
Oxana Matveyuk is a Senior Data Scientist at MedeAnalytics, where she has worked since 2021, focusing on maintaining high-quality data science products and managing new versions of these products. With a background in computer science and extensive experience in data engineering and analysis, she utilizes a diverse tech stack and mentors team members in her field.
Work at MedeAnalytics
Oxana Matveyuk has been serving as a Senior Data Scientist at MedeAnalytics since 2021. In this role, she manages new versions of data science products utilizing tools such as Harbor, Jenkins, and shell scripts. She ensures the quality of the data science team’s products by employing unit tests, coverage, nosetests, and locust. Her responsibilities also include developing and maintaining high-quality implementations across multiple data science projects, focusing on code quality, test coverage, and documentation. Additionally, she creates demos using jQuery, CSS, HTML, matplotlib, and seaborn to visualize requirements for other teams.
Previous Experience
Prior to her current position, Matveyuk worked at MedeAnalytics in various capacities. She served as a Data Scientist from 2019 to 2021 and as a Big Data Engineer from 2017 to 2019. Before joining MedeAnalytics, she worked at COMCON Research as a Focus Group Coordinator from 2007 to 2011 in Moscow, Russian Federation. This diverse experience has contributed to her expertise in data science and engineering.
Education and Expertise
Matveyuk has a strong educational background in computer science and software engineering. She earned a Bachelor's degree in Computer Science from the Moscow Aviation Institute (National Research University) from 1988 to 1994. She furthered her studies at City College of San Francisco, achieving a degree in Computer Science from 2012 to 2016. Additionally, she completed a program in Computer Software Engineering at Hackbright Academy in 2017. Her education has equipped her with the skills necessary to excel in her roles in data science.
Technical Skills and Tools
In her role as a Senior Data Scientist, Matveyuk utilizes a comprehensive tech stack that includes Docker, Flask, and gunicorn for building microservices with REST APIs. She employs various Python libraries such as sklearn, statsmodels, pmdarima, fbprophet, and keras to implement statistical and machine learning methods. Her ability to investigate data using Vertica and Python pandas further enhances her analytical capabilities. Matveyuk also mentors team members, providing guidance on existing products and future project requests.