Daniel Bell
About Daniel Bell
Daniel Bell is a Data Automation Machine Learning Engineer with three years of experience in remote work. He has previously held positions at PwC UK and Neueda, and he holds a B.Sc. in Computer Science from Queen's University Belfast.
Work at Io-Tahoe (now a Hitachi Vantara Company)
Daniel Bell has been employed as a Data Automation Machine Learning Engineer at Io-Tahoe, now a Hitachi Vantara Company, since 2021. His role focuses on automating data processes and implementing machine learning solutions. He has worked remotely for three years, contributing to various projects that enhance data efficiency and analytics.
Previous Experience at PwC UK
Before his current position, Daniel worked at PwC UK as a Technology Consultant Placement in Big Data from 2019 to 2020. This role lasted for ten months and took place in London, England. His responsibilities included assisting clients with big data solutions and technology integration.
Education and Expertise
Daniel Bell studied at South Eastern Regional College, where he achieved a BTEC Level 3 180-Credit Extended Diploma in IT (Software Development) from 2015 to 2017. He then attended Queen's University Belfast, earning a B.Sc. in Computer Science with a Year of Professional Experience from 2017 to 2021. His educational background provides a strong foundation in software development and data science.
Internship Experience at Neueda
In 2018, Daniel completed a two-month internship as a Data Engineer Intern at Neueda in Belfast, United Kingdom. This experience allowed him to gain practical skills in data engineering and further develop his technical expertise in the field.
Contract Role in Data Automation
In 2021, Daniel briefly worked as a Data Automation Machine Learning Engineer on a contract basis for two months. This role involved applying machine learning techniques to automate data processes, further enhancing his skills in the domain.