About

Kenza Amira is a highly motivated and skilled Machine Learning Engineer currently working at crowd.dev. With a background in Artificial Intelligence and Computer Science, she is passionate about leveraging technology to solve complex problems. Kenza began her professional journey as an Engineering Intern at Goldman Sachs, where she gained valuable experience working on large-scale projects and collaborating with cross-functional teams. She then moved on to become Director of Product Development at Bridgespace, where she honed her skills in product development and management. Currently, Kenza is focused on developing innovative Machine Learning solutions at crowd.dev. She is adept at using her technical expertise to create algorithms that drive business value and improve customer experience. Her proficiency in ML is reflected in her TechStack, which includes expertise in this area. Kenza's educational background is equally impressive. She holds a BSc in Artificial Intelligence and Computer Science from the University of Edinburgh, where she is currently in her 4th year of study. During her time at university, Kenza has demonstrated a strong aptitude for Informatics, and has consistently achieved outstanding results. She also holds a Scientific Baccalaureate, Mathematics Specialty, International Section, Music Option from Lycée Français International Louis-Massignon, where she graduated with highest honors. With 1.93 years of relevant experience, Kenza is a talented and dedicated professional who is committed to delivering exceptional results. She is a natural problem-solver with a keen eye for detail, and is always looking for new challenges to push her skills to the limit. Kenza's passion for technology and her commitment to excellence make her an asset to any team.