Dmytro Iefremov 🇺🇦
About Dmytro Iefremov 🇺🇦
Dmytro Iefremov is a Senior Data Scientist based in Vancouver, British Columbia, Canada, with extensive experience in data science across various industries. He has held positions at notable companies such as Clio and Battlefy, and has a strong academic background in finance and data science.
Current Role at Clio
Dmytro Iefremov serves as a Senior Data Scientist at Clio, a cloud-based legal technology company. He has been in this role since 2022, contributing to the company's data-driven initiatives in Vancouver, British Columbia. His responsibilities include developing advanced data models and mentoring team members in quantitative research methodologies.
Previous Experience at Clio
Prior to his current position, Iefremov worked at Clio as a Data Scientist from 2021 to 2022. During this time, he popularized the use of hierarchical Bayesian models and recurrent neural networks for subscription churn modeling. He also designed causal experiment frameworks, including randomized experiments and Multi-armed Bandit approaches.
Professional Background
Iefremov has a diverse professional background in data science and quantitative analysis. He worked at Battlefy as a Data Scientist from 2018 to 2020 and held a similar role at someHR from 2019 to 2021. His experience also includes a position as a Financial Engineer at FINCAD and a Senior Data Analyst at TELUS.
Educational Qualifications
Dmytro Iefremov holds a Master's degree in Data Science from The University of Texas at Austin, which he is expected to complete in 2024. He also earned a Master's degree in Finance with a concentration in Applied Statistics and Econometrics from Antwerp Management School. Additionally, he has a Bachelor's degree in Economics from Wisconsin International University (USA) Ukraine.
Contributions to Data Science
Iefremov has made significant contributions to data science methodologies, including developing a panel data normalization strategy using deep quantile neural networks. He has played a key role in changing company perspectives on various product topics through his quantitative research initiatives.