Jessie J.
About Jessie J.
Jessie J is a Data Scientist Intern at Adobe Sensei, specializing in Computer Vision within Machine Learning. With a background in Liberal Arts and Sciences and training in Web Development and Data Science, Jessie combines a passion for extreme sports with a focus on product development.
Work at Adobe
Currently, Jessie J. holds the position of Data Scientist Intern at Adobe Sensei, where she has been working since 2021. In this role, she focuses on applying her expertise in machine learning and computer vision to enhance Adobe's product offerings. Additionally, she is part of the Digital Academy Scholar program, specifically in the Data Science Immersive track. This program has provided her with the opportunity to develop her skills further while contributing to innovative projects within the company, based in San Jose, California.
Education and Expertise
Jessie J. has a diverse educational background that supports her career in data science. She studied at Dixie State University from 2011 to 2013, earning a degree in Liberal Arts and Sciences/Liberal Studies. In 2019, she completed a Full Stack Web Development program at V School, focusing on the MERN stack. Most recently, she attended General Assembly, where she completed a Data Science Immersive program in 2021. Her education has equipped her with a strong foundation in both web development and data science, with a specialization in computer vision within machine learning.
Background
Jessie J. has developed a keen interest in extreme sports, which influences her approach to product development. This interest reflects her innovative mindset and willingness to explore new ideas, particularly in creating products that intelligently interact with the physical world. Her background combines technical skills in data science and web development with a unique perspective shaped by her passion for extreme sports.
Achievements
Throughout her career, Jessie J. has engaged in various educational programs and internships that have contributed to her professional development. Her role at Adobe Sensei as a Data Scientist Intern allows her to apply her skills in machine learning and computer vision. Additionally, her participation in the Digital Academy Scholar program further enhances her capabilities in data science, positioning her as a valuable contributor to Adobe's innovative projects.