Chandani Doshi
About Chandani Doshi
Chandani Doshi is a Machine Learning Engineer currently employed at Heyday, with a background in software engineering and research at companies such as Invitae, Nara Logics, and IBM. She holds a Master's degree in Computer Science and a Bachelor's degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology.
Current Role at Heyday
Chandani Doshi is currently employed as a Machine Learning Engineer at Heyday, a position she has held since 2022. In this role, she focuses on developing and implementing machine learning algorithms to enhance the company's technology offerings. Her work contributes to the advancement of Heyday's capabilities in data analysis and predictive modeling.
Professional Experience
Chandani Doshi has a diverse background in software engineering and machine learning. Before joining Heyday, she worked at Invitae as a Software Engineer from 2019 to 2022, where she contributed to various projects in Cambridge, Massachusetts. Prior to that, she was a Software Engineer at Nara Logics for one year. Her experience also includes roles at Microsoft as a Student Partner, IBM as a Research Intern, and Draper as a Draper Fellow.
Education and Expertise
Chandani Doshi holds a Master of Engineering in Computer Science from the Massachusetts Institute of Technology, which she completed in 2018. She also earned a Bachelor of Engineering in Electrical Engineering and Computer Science from MIT in 2017. Her educational background provides her with a strong foundation in both theoretical and practical aspects of engineering and technology.
Early Education
Chandani attended Delhi Public School Gurgaon, where she completed her high school education with a focus on science from 2002 to 2013. This early education laid the groundwork for her future studies in engineering and computer science.
Research and Development Experience
Chandani Doshi has participated in various research and development roles during her academic career. Notably, she served as an Undergraduate Research Assistant at the MIT Media Lab in 2015. Additionally, her internship at IBM in 2016 provided her with hands-on experience in research, further enhancing her technical skills.