Angelica Cruz
About Angelica Cruz
Angelica Cruz is a Machine Learning Engineer at Koko, where she has worked since 2021. She holds a Master's degree in Data Analytics from San Jose State University and has a strong background in machine learning, deep learning, and data visualization techniques.
Work at Koko Home
Angelica Cruz has been employed at Koko as a Machine Learning Engineer since 2021. In this role, she applies her expertise in machine learning and deep learning to develop innovative solutions. Prior to her current position, she completed a one-month internship at Koko in the same field, allowing her to gain initial experience within the company.
Education and Expertise
Angelica Cruz holds a Master of Science in Data Analytics from San Jose State University, which she completed from 2019 to 2021. She also earned a Bachelor's Degree in Computer Engineering from the University of Modena and Reggio Emilia, studying from 2012 to 2018. Additionally, she has a background in Foreign Languages and Literature from ITAS F.Selmi, where she studied from 2006 to 2011. Her educational background supports her specialization in data visualization techniques within the field of machine learning.
Background
Angelica Cruz's professional journey includes various roles in software development and machine learning. She worked as a Packaging Employee at Panini and Edis Spa, gaining early work experience in Modena. She transitioned into technology roles, including an internship as an AR Developer at DataMesh in Beijing City, China, and positions as a Software Developer at Energee3 s.r.l. and Nu.M.I.D.I.A. Srl. She also served as an Instructional Student Assistant at San Jose State University.
Professional Experience
Throughout her career, Angelica Cruz has accumulated diverse experience in software development and machine learning. She worked as a Software Engineer at GetConnected Srl in Bologna, Italia, and held multiple software development roles, including at Energee3 s.r.l. and Nu.M.I.D.I.A. Srl. Her internships and positions have contributed to her strong foundation in machine learning and deep learning.