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    Kamalika Das

    Data Science at Intuit

    Kamalika Das is a seasoned professional with extensive experience in data mining and machine learning, specifically focusing on cybersecurity solutions. Prior to her current role at VMWare, she held key positions at NASA Ames Research Center, where she spearheaded various projects in aviation, climate science, and computational sustainability utilizing machine learning techniques. Her impressive track record includes leading multiple research projects funded by prestigious institutions like the NASA Earth Science Mission Directorate and DARPA.

    With a PhD in Computer Science, Kamalika specializes in developing scalable data mining solutions and possesses over 15 years of research experience handling massive datasets. Her expertise extends to parallel and distributed algorithms, graph algorithms, anomaly detection, deep learning, and sparse learning. She is also adept at data science team management and excels in grant/proposal writing. Kamalika has a solid academic background, having pursued her education at reputable institutions such as the University of Maryland Baltimore County and the University of Kalyani.

    Throughout her career, Kamalika has made significant contributions to the field of data science, reflected in her 50+ peer-reviewed publications across prestigious conferences and journals. She actively participates in NASA and NSF panels, as well as various data science conferences, showcasing her thought leadership in the field. Notably, she recently co-chaired the ADS track at the ECML-PKDD conference, further solidifying her reputation as a prominent figure in the industry.

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    Location

    Mountain View, California, United States