Revathi Lalam
About Revathi Lalam
Revathi Lalam is a Machine Learning Engineer at Expedia Group with extensive experience in data science and machine learning roles across various organizations.
Current Role at Expedia Group
Revathi Lalam is currently a Machine Learning Engineer at Expedia Group, based in Dallas, Texas. She took on this role in 2023. At Expedia Group, she is involved in projects that leverage her expertise in advanced algorithms and machine learning models.
Previous Experience at Ascendion
Prior to her current role, Revathi worked as a Machine Learning Engineer at Ascendion from 2022 to 2023. During her time there, she applied her skills in machine learning to various industry-specific challenges, contributing to the company's data-driven initiatives.
Work History at USAA and JPMorgan Chase & Co.
Revathi held positions as a Machine Learning Engineer at USAA from 2021 to 2022 and as a Data Scientist at JPMorgan Chase & Co. from 2019 to 2021. Her role at USAA involved the implementation of machine learning models to enhance business operations, while at JPMorgan Chase & Co., she focused on data science projects in the New York City Metropolitan Area.
Role at Envision Healthcare
In 2019, Revathi worked as a Data Scientist at Envision Healthcare for 9 months. During her tenure, she was responsible for analyzing healthcare data and developing predictive models to improve patient care and operational efficiencies.
Educational Background
Revathi Lalam completed her Bachelor's degree in Electrical and Electronics Engineering at Andhra University. Her academic background provided her with a strong foundation in engineering principles, which she has applied throughout her professional career.
Specializations and Technical Skills
Revathi specializes in implementing advanced algorithms such as gradient boosting machines (GBM) and neural networks. She is proficient in designing and deploying search relevance models using Elasticsearch and ranking algorithms like BM25. Additionally, she is skilled in developing generative AI models using architectures like GPT for text generation and understanding.