Sai Prashanth Devireddy
About Sai Prashanth Devireddy
Sai Prashanth Devireddy is a data scientist with extensive experience in data analytics and marketing. He has worked at various companies in both India and the United States, developing expertise in data pipelines, A/B testing, and data visualization tools.
Current Role at ABC Supply Co. Inc.
Sai Prashanth Devireddy currently serves as a Data Scientist at ABC Supply Co. Inc. since 2021. In this role, he applies his expertise in data analysis and machine learning to support business objectives. His responsibilities include developing data-driven solutions and leveraging large datasets to enhance decision-making processes.
Previous Experience in Data Science and Marketing
Prior to his current position, Sai worked at Opex Analytics as a Data Scientist from 2019 to 2021 and as a Data Science Intern in 2019. He also held the position of Marketing Manager at My Ally for one year in 2016-2017. His diverse experience spans various roles, including financial analysis and digital marketing, where he contributed to data-driven strategies.
Educational Background in Analytics and Engineering
Sai Prashanth Devireddy earned a Master of Science in Analytics from the Georgia Institute of Technology, studying from 2018 to 2019. He also holds a Bachelor of Technology in Chemical Engineering from the Indian Institute of Technology, Madras, completed in 2013. This educational foundation supports his analytical skills and technical expertise.
Technical Skills and Expertise
Sai possesses advanced skills in programming languages and data analysis tools, including Python, SQL, and R. He is proficient in machine learning frameworks such as PyTorch and utilizes visualization tools like Tableau and Power BI to create interactive dashboards. His expertise also includes using Google Marketing Platform 360 and Adobe Analytics for comprehensive data analysis.
Experience in Data Pipeline Development
Sai has a strong background in setting up ETL data pipelines, which are essential for managing large datasets. His experience includes designing A/B tests and planning experiments to define and track success metrics, contributing to effective data-driven decision-making in various projects.