Vita Levytska
About Vita Levytska
Vita Levytska is a data analyst with expertise in data visualization and advanced statistical methods. She has a strong educational background in statistics and mathematics, along with practical experience in various data science roles.
Current Role at Enova International
Vita Levytska has been employed as a Data Analyst at Enova International since 2021. In this role, she applies her expertise in data visualization and advanced statistical methods to analyze and interpret complex data sets. Her work contributes to the company's data-driven decision-making processes. Enova International is known for its focus on technology and innovation in the financial services sector.
Education and Expertise
Vita Levytska earned her Bachelor's degree in Statistics from the University of Central Florida, where she studied from 2017 to 2021. She also participated in the Global Leadership Program at the same institution from 2019 to 2021. Additionally, she completed an Exchange Program in Mathematics at the University of Surrey in 2020. Her educational background equips her with a solid foundation in statistical analysis and data science methodologies.
Professional Experience
Prior to her current position, Vita Levytska held various roles that enhanced her data analysis skills. She worked as a Research Assistant at the University of Central Florida for four months in 2019. In 2020, she served as a Data Science Intern at The Society Library for three months and as a Data Science Research Assistant at the Florida Solar Energy Center for ten months. These experiences provided her with practical knowledge in data manipulation and analysis.
Technical Skills and Tools
Vita Levytska is proficient in several data analysis and machine learning techniques. She utilizes Python libraries such as NumPy, Pandas, and Scikit-learn for data manipulation and machine learning tasks. Her expertise includes advanced statistical methods like Bayesian Statistics and Time Series Models, including ARIMA. Additionally, she is skilled in data visualization using Seaborn and Matplotlib, and has experience with machine learning techniques such as Gradient Boosting and Clustering.
Projects and Contributions
Vita Levytska developed a GitHub project focused on HR Analytics, which demonstrates her skills in data analysis and machine learning. This project showcases her ability to apply theoretical knowledge to practical scenarios, contributing to her professional portfolio. Her work in various internships and research roles has further solidified her capabilities in the field of data science.