Darwinium
Pankaj Sharma, PhD, is a seasoned data scientist with extensive experience in machine learning and analytics, currently serving as a Senior Data Scientist at Darwinium since January 2022. Previously held a similar role at ThreatMetrix from November 2018 to July 2021, where notable projects included the development of a Behavioral Biometric authentication system, significantly enhancing fraud detection rates, and creating an Automated Canary Analysis service. Pankaj also completed research at the University of Adelaide as a Visiting Researcher and Research Associate from September 2014 to November 2018, as well as held postdoctoral positions at the Korea Institute for Advanced Study and Physical Research Laboratory, contributing to the field of particle physics through extensive data analysis and simulation. Pankaj Sharma holds a PhD in Particle Physics from Physical Research Laboratory and has published numerous research articles in leading international journals.
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Darwinium
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Darwinium develops a decision technology platform to match security, fraud, and customer experience. It utilizes integrated machine learning, orchestration, and analytics to safeguard mobile apps, websites, and APIs against advanced automated attacks by protecting customer privacy and minimizing risk exposure with anonymization, masking, and securecomputing techniques.