Brandi Q.

Brandi Q. has a diverse work experience in various roles and industries. Brandi'smost recent role was as VP, Learning and Development at White Cloak Technologies, Inc. where they led a department focused on developing the skills and competencies of employees. Prior to this, Brandi served as a Training Master within the company, mentoring trainees on programming and database design.

Before joining White Cloak Technologies, Brandi worked as a Data Analytics and Programming Specialist at Ateneo de Manila University, where they developed a health data analytics system for the Provincial Health Office of Pangasinan. Brandi also conducted training workshops for government employees.

Brandi's previous experience includes roles as a Web Developer at the University of the Philippines, where they set up a biodiversity platform and conducted training sessions, and as a Web Developer at The University of Manchester, where they developed a prototype of the Philippine Atlas of Biodiversity platform.

Brandi also worked as a Software Developer at UP Electrical and Electronics Engineering Institute, where they helped develop a desktop application for primary school students, and as an Application Development Training Specialist and Software Engineer at UP Information Technology Development Center, where they trained non-IT professionals in various IT career paths.

Brandi started their career as a Junior Software Engineer at the Department of Science and Technology, where they contributed to the development of the CloudTop platform for public school teachers to create lesson plans.

Brandi Q. holds a Master's degree in Computer Science from the University of the Philippines Diliman. Brandi also has a Bachelor's degree in Computer Science from the same university. Prior to their university education, Brandi Q. obtained a High School Diploma from San Beda University. In addition to their formal education, Brandi Q. has obtained several certifications, including the Google Project Management Specialization from Coursera Course Certificates, the Data Science and Machine Learning course from MIT Schwarzman College of Computing, the Mathematics for Machine Learning Specialization from Coursera Course Certificates, and the Professional Scrum Master I certification from Scrum.org.