Ola is a results-driven problem solver with a passion for using data to tackle health and clinical challenges, improve patient outcomes, and optimise resource allocation through predictive models.

One of my projects involved developing a diabetes risk prediction model using health data, which is available on , alongside other data-driven initiatives. He thrives on collaboration and enjoys exchanging insights with fellow interns, sharing experiences, and exploring innovative applications of data science.

Ola’s journey into data science started unexpectedly. He holds a master’s degree in construction project management, but his MSc thesis鈥鈥淎n Analysis of the Impact of Data Analytics on Supply Chain Management and Its Effect on Efficiency in Construction Projects鈥鈥攐pened his eyes to the power of data and its transformative role in the modern technology landscape.

Since then, Ola has pursued his passion rigorously, earning the Google Data Analytics certification and completing a Data Science Bootcamp. These experiences allowed him to work on diverse projects, applying both supervised and unsupervised machine learning techniques to solve real-world problems. He looks forward to connecting, learning, and making meaningful contributions within the internship community.

Ola is an intern with:

Office for National Statistics