Samuel M. Onofeghare

Samuel M. Onofeghare

Founder @ Stackq

About Samuel M. Onofeghare

Samuel M. Onofeghare is the Founder of Stack Q, where he has worked since 2020. He has a background in data analysis, machine learning, and cloud computing, with previous experience at Google and a strong educational foundation in data science and engineering.

Work at Stack Q

Samuel M. Onofeghare has served as the Founder of Stack Q since 2020. In this role, he has been instrumental in shaping the company's vision and direction. His leadership focuses on leveraging advanced technologies to enhance business processes and deliver innovative solutions. Under his guidance, Stack Q has utilized cloud computing and machine learning to optimize operations and improve efficiency.

Previous Experience at Google

Before founding Stack Q, Samuel worked at Google through AlgoMarketing as a Data Analyst for six months in 2020. During his tenure in London, he contributed to data analysis projects that informed marketing strategies. His experience at a leading technology company provided him with insights into data-driven decision-making and analytics.

Education and Expertise

Samuel studied Data Science and Computing at Birkbeck, University of London, where he earned a Bachelor of Science (BSc). He also attended City of Westminster College, achieving a National Diploma in Electrical and Electronics Engineering. His educational background equips him with a strong foundation in technical skills and analytical thinking.

Machine Learning and Cloud Computing Skills

Samuel possesses expertise in predictive and statistical modeling within the field of machine learning. He has experience in utilizing the TensorFlow framework to build artificial neural networks. Additionally, he employs AWS for cloud computing solutions, which enhances his ability to implement scalable and efficient systems.

Business Process Optimization

Samuel has developed skills in optimizing business processes through machine learning techniques. His approach focuses on integrating data-driven methodologies to improve operational efficiency and drive business growth. This expertise allows him to identify areas for improvement and implement effective solutions.

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