Sai Shreyas Bhavanasi
About Sai Shreyas Bhavanasi
Sai Shreyas Bhavanasi is a Founding ML Engineer who specializes in developing tools using Causal ML to enhance customer retention and conversion. He holds a Bachelor of Science and a Master of Science in Data Science and Artificial Intelligence from Saint Louis University.
Work at Lancey
Sai Shreyas Bhavanasi serves as a Founding ML Engineer at Lancey, a position he has held since 2024. His role involves leveraging machine learning techniques to develop innovative solutions that enhance business operations. He works remotely and contributes to the company's mission by applying his expertise in causal machine learning.
Education and Expertise
Sai Shreyas Bhavanasi holds a Bachelor of Science in Data Science and Computer Science and a Master of Science in Artificial Intelligence, both from Saint Louis University. His academic background provides a strong foundation in machine learning and data analysis, which he applies in his professional endeavors.
Background
Before joining Lancey, Sai gained valuable experience in various roles. He worked as a Machine Learning Engineer Intern at Intradiem for three months in 2023, where he focused on practical applications of machine learning. Additionally, he served as a Machine Learning Researcher at Saint Louis University from 2020 to 2023, contributing to research projects and enhancing his analytical skills.
Achievements
Sai has developed a tool using Causal ML that assists businesses in identifying key drivers of customer retention, activation, and conversion. He has also authored a machine learning paper recognized in the top 25% of submissions. Furthermore, he regularly shares insights through daily posts analyzing machine learning case studies and gives talks on Taro, a Y Combinator S22 company.
Previous Work Experience
Prior to his current role, Sai worked as a Data Analyst Intern at Stout for two months in 2022. His experience in data analysis and machine learning research has equipped him with the skills necessary to excel in his current position and contribute to the field of machine learning.