Finetune
Kowshik Bhowmik is a skilled AI & Machine Learning Applied Scientist with a wealth of experience in data mining, machine learning algorithms, and statistical modeling. From developing prediction models to implementing various clustering techniques, Kowshik has a strong background in using Python and libraries like NumPy and Scikit-learn. With a Ph.D. in Computer Science and a Master's degree in the same field, Kowshik is well-versed in handling high-dimensional data and evaluating models using performance metrics. Additionally, Kowshik has a history of research and development in multiple prestigious institutions, showcasing a dedication to continuous learning and growth in the field.
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Finetune
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Finetune is leading the way in AI-Human hybrid solutions for learning and assessment. Their practice-proven tools include an assessment platform that delivers formative assessment to millions of students (built in partnership with The College Board); an AI-assisted system that streamlines scoring assignments, videos, and projects; an innovative solution to the problem of inter-rater reliability in qualitative assessment for teachers across 400 schools (built-in partnership with Gradient Learning); test authoring support that more than doubles authoring speed and efficiency while improving item quality; and, an AI content tagging tool that dramatically improves the speed and quality of content classification, crosswalks, and item bank realignments.