Spandan Brahmbhatt

Sr Data Scientsit at Arkose

Spandan Brahmbhatt is a seasoned data scientist with extensive experience in developing machine learning algorithms and predictive models across various industries. Currently serving as a Senior Data Scientist at Arkose Labs since November 2020, Spandan has designed a device spoofing bot detection algorithm that accounts for approximately 30% of bots detected on the platform. Previously, Spandan worked at Yum! Brands, where a predictive market mapping model for store expansion was created, and at Akamai Technologies, where a deep learning model was developed for automated bot discovery. Spandan's earlier roles include data science and software development positions at DataXu, EBSCO Information Services, and Gandhinagar Civil Hospital IT Department, as well as teaching roles at Northeastern University. Spandan holds a Master's degree in Information Systems from Northeastern University and a Bachelor's in Computer Engineering from Gujarat Technological University.

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Dallas, United States

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Arkose

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Arkose Labs bankrupts the business model of fraud. Its innovative approach determines true user intent and remediates attacks in real-time. Risk assessments combined with interactive authentication challenges undermine the ROI behind attacks, providing long-term protection while improving good customer throughput. Backed by Microsoft, PayPal, SoftBank and Wells Fargo, Arkose Labs is hailed by customers as a user-friendly solution to an ever-evolving fraud landscape.


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51-200

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