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Namita Lokare, PhD
Researcher | Data Scientist | AI & ML developer
About
Namita Lokare, PhD is a highly skilled Researcher, Data Scientist, and AI & ML developer with over 5 years of relevant experience. Currently serving as a Machine Learning Scientist at valencell, inc., Namita is responsible for developing and implementing machine learning models to improve the accuracy and efficiency of the company's products. Before joining valencell, inc., Namita worked as an Associate Editor at the Journal of Engineering Research and Sciences and as a Senior Machine Learning Engineer at Gideon Health. These roles gave her exposure to diverse industries and allowed her to hone her skills in data analysis, machine learning, and research. Namita holds a Doctor of Philosophy (PhD) degree in Electrical Engineering from North Carolina State University, where she conducted research on developing machine learning algorithms for medical applications. She also holds a Master's degree in Biomedical/Medical Engineering from the University of Southern California and a Bachelor's degree in Biomedical Engineering from Bharati Vidyapeeth. Namita's expertise lies in research, AI, ML, and data science. She is proficient in various programming languages and has experience working with large datasets. Her strong analytical skills and attention to detail make her an asset to any team. In summary, Namita Lokare, PhD is a highly skilled researcher and data scientist with a passion for developing innovative solutions using AI and ML. Her extensive education and experience make her an ideal candidate for any role in the field of data science and machine learning.
Education Overview
• north carolina state university
• university of southern california
• bharati vidyapeeth
• fergusson college
Companies Overview
• journal of engineering research and sciences
• valencell inc.
• gideon health
• sas
• truemotion
• north carolina state university
• wildtrack
• image processing and informatics laboratory
• university of southern california
Experience Overview
6.7 Years
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