Reme Ajayi

Reme Ajayi has a diverse work experience in the fields of data engineering, data science, software development, and technology advisory.

In 2017, Reme gained experience as an IT Support Intern at the Nigerian Petroleum Development Company Limited, where they provided technical assistance to customers, troubleshooted hardware issues, and assisted with antivirus program installations and virus removals.

In 2017, Reme also worked as a Technology Advisory Intern at KPMG Nigeria, gaining exposure to the technology advisory field.

From 2018 to 2020, Reme worked at SEAMFIX as a Front-end Developer, contributing to the development of web applications. Additionally, Reme briefly served as a Software Quality Assurance Engineer at SEAMFIX in 2018.

In 2021, Reme participated in the Data Science Fellow (DS4A/Women) program at Correlation One, focused on developing data science skills.

In 2022, Reme joined Loblaw Companies Limited as a Data Scientist, where they worked on projects involving cost optimization, fraud detection model pipeline, and monitoring pipelines for models in production using various tools and technologies.

Currently, Reme is a Data Engineer at theScore, a position they started in November 2022.

Reme Ajayi completed a Master of Engineering (MEng) degree in Electrical and Computer Engineering from the University of Waterloo from 2020 to 2021. Prior to that, they earned an Engineer's Degree in Computer Engineering from Covenant University between 2013 and 2018. Before entering university, Reme attended Presentation National High School from 2007 to 2013. In addition to their formal education, Reme has obtained several certifications, including "Modernizing Data Lakes and Data Warehouses with Google Cloud" from Coursera in April 2022, "Exploring and Preparing your Data with BigQuery" from Coursera in March 2022, "Building Batch Data Pipelines on GCP" from Coursera in February 2022, "Attendee - Central Regional Datathon Fall '21" from Correlation One in January 2022, "Fellow - Data Science For Women" from Correlation One in November 2021, and "Applied Machine Learning in Python" from Coursera in May 2021. Additionally, Reme has completed a course on "Time Management: Working from Home" from LinkedIn. They have also undertaken self-study courses in "Deep Learning" from Udacity and "Web Development" from NIIT Limited.