Spoorthi Medasani
About Spoorthi Medasani
Spoorthi Medasani is a Machine Learning Scientist at Expedia Group with extensive experience in data science and analytics, holding advanced degrees in Computer Science and Information Technology.
Current Role at Expedia Group
Spoorthi Medasani currently holds the position of Machine Learning Scientist at Expedia Group, a role she has been in since 2022. She works out of the Austin, Texas Metropolitan Area. Her position involves leveraging machine learning techniques to improve and innovate Expedia Group's data-driven decision-making processes.
Past Experience at Personal Capital
Prior to her current role, Spoorthi Medasani served as a Senior Data Scientist (Machine Learning) at Personal Capital. She held this position from 2021 to 2022 for one year in the Dallas-Fort Worth Metroplex. Her role focused on utilizing advanced machine learning methodologies to enhance financial advice and wealth management services.
Roles at Nationstar Mortgage
Spoorthi Medasani has considerable experience at Nationstar Mortgage, where she worked as a Senior Risk Modeling Analyst from 2017 to 2021. She also interned there in 2016 as a Risk Modeling and Analytics Intern. Her contributions included developing risk models and analytics strategies in the financial sector.
Educational Background
Spoorthi Medasani has an impressive academic background. She earned a Master of Science (MS) in Computer Science from the Georgia Institute of Technology between 2020 and 2022. She also holds a Master's degree in Information Technology and Management from the Naveen Jindal School of Management at UT Dallas, which she completed in 2016. Her undergraduate studies were in Electrical, Electronics, and Communications Engineering at Manipal Institute of Technology, where she received a Bachelor of Engineering (BE) in 2014.
Technical Skills and Expertise
Spoorthi Medasani possesses a diverse skill set that includes proficiency in programming languages such as Python, SAS, SQL, and R. She has expertise in Business Intelligence, Business Data Warehousing, and is proficient in ETL processes. She is also adept at data visualization using Tableau. Her strong analytical background is augmented by her certification in SAS, indicating a high level of proficiency in this statistical software.