Christopher Wills

Data Verification (Quality Assurance) @ Lead Forensics

About Christopher Wills

Christopher Wills is a Data Verification (Quality Assurance) professional at Lead Forensics in Portsmouth, United Kingdom. He holds a Master of Science in Computer Science from the University of York and has extensive educational experience in ICT, Computing, and Business Studies.

Work at Lead Forensics

Christopher Wills has been employed at Lead Forensics since 2016, where he holds the position of Data Verification (Quality Assurance). His role focuses on ensuring the accuracy and reliability of data within the organization. Lead Forensics is known for its innovative solutions in lead generation and data analytics, and Wills contributes to maintaining the quality standards necessary for the company's operations.

Education and Expertise

Christopher Wills has a strong educational background in computer science and related fields. He studied at South Downs College from 2008 to 2011, where he achieved A levels in ICT, Computing, and Business Studies. He then pursued a Bachelor of Science in Computer Science at the University of Teesside from 2011 to 2014. Furthering his education, he obtained a Master of Science in Computer Science from the University of York, completing his studies from 2020 to 2022.

Background

Christopher Wills has a diverse academic background that laid the foundation for his career in data verification and quality assurance. His studies at South Downs College provided him with a comprehensive understanding of information technology and business principles. His subsequent degrees in computer science from the University of Teesside and the University of York equipped him with advanced technical skills and knowledge applicable to his current role.

Professional Experience

With over eight years of experience in data verification and quality assurance at Lead Forensics, Christopher Wills has developed a specialized skill set in data management. His expertise in ensuring data accuracy is critical to the operational success of the company. His role requires attention to detail and a strong understanding of data processes, which he has honed throughout his career.

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