About me
Rachita Naik is a Machine Learning (ML) Engineer at Lyft, Inc., and a distinguished graduate of Columbia University. With a strong foundation in AI and two years of professional experience, she is dedicated to creating transformative solutions that address complex, real-world challenges. At Lyft, Rachita leads the development and deployment of cutting-edge ML models to enhance ride-hailing reliability, optimizing pickup times, reducing cancellations, and improving the overall customer experience.
A recognized voice in the field, Rachita has delivered insights at premier conferences like INFORMS and Data Science Salon, and shared her ML expertise on platforms such as the DataCamp podcast. She is also a published author of technical articles on ML, featured on influential platforms like VentureBeat and Medium.
Beyond her technical contributions, Rachita is a passionate advocate for diversity and inclusion in tech. As an active member of Women in Data Science, she champions initiatives that promote knowledge-sharing, mentorship, and community empowerment. With a relentless drive for innovation, she continuously explores emerging technologies to push the boundaries of AI and deliver meaningful impact.
