Daniel D.

Daniel D. has a diverse range of work experience. Starting in 2017, they worked as a personal trainer, being self-employed until July 2020. In 2019, they were a data research intern at WITH US National Network. From January to May 2020, they worked as a student data science consultant at The World Bank. In February 2020, they joined Cal Poly Corporation as a student research assistant until March 2022. From May 2020 to May 2021, Daniel served as a data analytics boot camp teaching assistant at Trilogy Education. In July 2021, they started working as a backend developer and computer vision engineer at KOS Technologies until October 2022. Daniel also worked as a research assistant at Texas A&M University from February 2021 to February 2022. Daniel served as a computer vision and advanced technology electronics engineer at SNSR Fusion Technologies from February 2021 to September 2021. Currently, they are employed as a mid-level software developer at Whitespace since October 2022. Alongside their various roles, Daniel also worked as a data science tutor at Practicum starting in January 2021.

Daniel D. completed their Bachelor of Science degree in Statistics at California Polytechnic State University-San Luis Obispo from 2016 to 2020. In August 2020, they obtained the NVIDIA DLI Certificate - Fundamentals of Deep Learning for Computer Vision from the NVIDIA Deep Learning Institute, as well as the Triplebyte Certified Data Scientist certification. Later on, in December 2020, Daniel achieved the TensorFlow Developer Certificate from the TensorFlow Certificate Program. Additionally, they have obtained certifications in various subjects such as R, Python development, data visualization, Amazon Web Services for Data Science, Google Cloud Platform, JavaScript, SQL for Data Science, MongoDB Basics, and Tensorflow 2.0 Practical from institutions like LinkedIn, MongoDB, and SuperDataScience.