Яна

Researcher Full Name: Institution Name: Email:
YANA BONDARENKO OLES HONCHAR [открыть контакты](см. выше в блоке «контактная информация»)
DNIPRO NATIONAL Mobile phone:
UNIVERSITY [открыть контакты](см. выше в блоке «контактная информация»)

Curriculum Vitae

Education

1999-2006 Ph.D. in Mathematical modelling and Computational methods,
Oles Honchar Dnipro National University
1994–1999 M.S. in Mathematics, Oles Honchar Dnipro National University

I obtained my Master's degree in Mathematics in 1999 from Dnipropetrovsk State University in Ukraine.
In 2002, I completed my postgraduate studies with a specialization in Probability Theory and Mathematical
Statistics. Between 2002 and 2007, I worked as an assistant professor at Dnipro National University. In 2006,
I earned my Ph.D. in Mathematical Modeling and Computational Methods. Since 2007, I have been working as
an associate professor at Oles Honchar Dnipro National University.

Teaching Positions

2007–2025 Associate Professor, Department of Statistics and Probability Theory
Oles Honchar Dnipro National University
Probability Theory and Mathematical Statistics, Machine Learning,
Data Analysis with R, Data Analysis with Python, Deep Learning,
Financial Mathematics, Risk Theory in Insurance, Survey Sampling Theory
2004–2007 Assistant Professor, Department of Statistics and Probability Theory,
Oles Honchar Dnipro National University
Probability Theory and Mathematical Statistics, Linear Regression Analysis,
Actuarial Mathematics, Risk Theory in Insurance
2002–2004 Assistant Professor, Department of Function Theory
Oles Honchar Dnipro National University
Probability Theory and Mathematical Statistics, Functional Analysis

My teaching experience includes delivering lectures and practical sessions on Probability Theory,
Mathematical Statistics, Data Analysis, Financial Mathematics, Actuarial Mathematics, Risk Theory in Insurance,
and Survey Sampling Theory. My primary areas of scientific research focus on the theoretical and practical
statistics of randomized online experiments, with an emphasis on data-driven optimization and advanced
statistical methodologies. I have published more than 10 research works, including articles and conference
proceedings.

Publication History Over the Past 5 Years

2020 Y. Bondarenko, D. Rachko, A. Rozlyvan, “Probabilistic Inference in Bayesian Insurance
Network”, Problems of Applied Mathematics and Mathematical Modelling. – Dnipro:
DNU – 2020, pp. 3-20.
2021 Y. Bondarenko, “A sequential probability ratio test for randomized online experiments”,
Problems of Applied Mathematics and Mathematical Modelling. – Dnipro: DNU – 2021,
pp. 3-15.
2021 Y. Bondarenko, “A sequential probability ratio test for online experiments”, Summer
School of Survey Statistics 2021, Statistics Lithuania, Vilnius, 2021, pp. 35-39.
2021 Y. Bondarenko, “Detection of statistically significant differences in gene expression
levels of patients with bronchial asthma”, XIX International Scientific and Practical
Conference "Mathematical and Software Support of Intelligent Systems", Dnipro, 2021,
pp. 23-26.
2022 Y. Bondarenko, “Statistical Analysis with Missing Data”, Proceedings of the Baltic-
Nordic-Ukrainian Workshop on Survey Statistics 2022, Tartu, Estonia, 2022, pp. 35-39.
 2022 Y. Bondarenko, “StatVillage Households Survey Sampling”, Problems of Applied
Mathematics and Mathematical Modelling, pp. 3-10, 2022.
2023 Y. Bondarenko, “Bayesian Modelling of Profitable Landing Page”, Proceedings of the
6th Baltic-Nordic Conference on Survey Statistics, Helsinki, Finland, pp. 42-45, 2023.
2023 Y. Bondarenko, "Continuous Monitoring of Data in Online Randomized
Experiments," 2023 International Conference on Innovation and Intelligence for
Informatics, Computing, and Technologies (3ICT), Sakhir, Bahrain, 2023,
pp. 70-77.
2024 Y. Bondarenko, "Data-Driven Decision-Making Based on Revenue", 2024 International
Conference on Innovation and Intelligence for Informatics, Computing, and
Technologies (3ICT), Sakhir, Bahrain, 2024, pp. 7-12.
2025 Y. Bondarenko, "Relative Uplift in Online Experimentation", 2025 International
Conference on Computer Sciences, Engineering, & Technology Information
(ICoCSETI), Jakarta, Indonesia, 2025, pp. 491-496.
2025 Y. Bondarenko, "ARPU Optimization in Subscription-Based Services", The 6th
International Conference on Big Data Analytics and Practices (IBDAP 2025). – Chiang
Mai, Thailand, 2025, pp.191-196.

ORCID https://orcid.org/0000-0002-2030-9596
ResearchGate https://www.researchgate.net/profile/Yana-Bondarenko
Google Scholar https://scholar.google.com/citations?hl=en&user=vGqJDNoAAAAJ
Scopus https://www.scopus.com/authid/detail.uri?authorId=57216158940

Research statement

My research area focuses on the theoretical and practical statistics of randomized online experiments, with an
emphasis on data-driven optimization and advanced statistical methodologies. My work explores Bayesian
inference, sequential analysis, and probability distributions to enhance business decision-making.

Key themes of my research: conversion rate optimization, revenue metrics and financial analysis, big data
analytics for business strategy, e-commerce optimization, fintech revenue modeling. I analyze methods for
improving conversion rates in online platforms using sequential analysis and Bayesian statistical approaches.

My research supports hypothesis testing for user interface changes, content management systems, and
customer support systems. I develop analytical solutions for Average Revenue Per User (ARPU), applying beta
gamma ratio distribution and mathematical functions like Meijer G-function and hypergeometric functions to
derive closed-form solutions for revenue comparisons and loss estimation.

My research applies novel analytical models to evaluate revenue from purchases, memberships, and services,
while identifying opportunities for loyalty programs, personalized shopping, and product bundling. Through
statistical modeling and precise closed-form solutions, my research advances data-driven business intelligence,
enabling organizations to make faster, more accurate financial decisions and optimize revenue streams
effectively.

List of students/mentees

Students Oleh Yashchuk, Sergey Kravchenko, Denis Rachko are winners in All-Ukrainian Competitions of
Student Scientific Works in the field of Mathematical Science (2015) and in the field of Computer Science
(2019, 2021).