Andrey Gavrilenko
About Andrey Gavrilenko
Andrey Gavrilenko is a Manager of Data Science at Pandadoc, with extensive experience in data analytics and machine learning across various industries. He has held positions at notable companies such as IBM, Parexel, and Iba Group, and possesses a Kaggle Master status.
Current Role at PandaDoc
Andrey Gavrilenko serves as the Manager of Data Science at PandaDoc, a position he has held since 2019. In this role, he oversees data science initiatives and leads a team focused on leveraging data analytics to enhance business processes. His responsibilities include developing data-driven strategies and implementing machine learning models to improve client experience and operational efficiency.
Previous Experience at IBM
Andrey Gavrilenko worked at IBM in various capacities from 2009 to 2017. Initially, he served as a Senior Business Developer for four years in New York, New York. He then transitioned to a Data Scientist role, where he continued to develop his expertise in advanced analytics tools, including IBM's Watson Explorer. His experience at IBM contributed significantly to his understanding of data science applications in business.
Data Science Career Path
Gavrilenko's career in data science includes roles at several organizations. He worked as a Data Analyst at Parexel from 2007 to 2009, and later as a Data Scientist at Exadel for seven months in 2017. His tenure at Iba Group spanned eight years, where he held positions as both a Data Scientist and Senior Business Developer. His diverse experience across these roles has equipped him with a broad skill set in data science.
Education and Expertise
Andrey Gavrilenko holds a Master's degree in Computer Systems from the Belarusian State University of Informatics and Radioelectronics, which he completed from 1998 to 2003. His educational background provides a strong foundation in computer science and mathematics, essential for his proficiency in data analysis and machine learning. Additionally, he possesses Kaggle Master status, reflecting his high level of expertise in the data science community.
Technical Skills and Proficiencies
Gavrilenko demonstrates proficiency in multiple machine learning frameworks, including sklearn, keras, tensorflow, xgboost, and lightGBM. His extensive experience with these tools supports his ability to develop and implement advanced data science solutions. His domain expertise spans various fields, including Human Resource, Client Experience, Health Care, and Finance, showcasing his versatility in applying data science across industries.