Spandana
Spandana is a Sr. Applied Scientist with a master’s degree and seven years of experience in Identity verification and fraud detection. She has a track record of patenting innovative solutions, with seven patents that are granted or pending. Her expertise lies in developing and optimizing machine learning algorithms, particularly deep learning, for robust fraud detection solutions. She is also skilled in designing real world data collection/curation plans, creating synthetic data, devising test protocols, and spearheading technical elements for product certifications in fraud detection systems.
