What degree did you study at university, Olayinka?
Can you tell us why you chose this career?
There are two main things I enjoy doing naturally: research and analysis. Data Science allows me to joggle between these two domains, so to speak, therefore it was easy for me to choose a career in Data Science.
What’s a typical day like in your job?
In summary, at Standard Bank, I convert raw data to useful insights for Business decision-making. This is achieved by leveraging tools and techniques, such as Machine Learning, Qlikview for visualizations, Hadoop for handling Big Data, R & Python programming for building data models, etc. No two days are the same! Everyday involves the application of creativity. Oftentimes I write code in R or Python to build data models, as well as prepare presentations for business communication. Also, I develop Qlikview applications to tell a story and engage business domain experts, via short meetings to obtain insights.
What are the some of the highlights and challenges of your role?
On the one hand, a highpoint for me was when I trained a large group of Relationship Managers on the utilization of a developed data solution (which promised to grow revenue). On the other hand, a challenge in my role are in the Data preparation / cleaning stage, in which the process is typically long and tedious.
How do you keep up to date with all the changes in your profession?
The only way forward is to keep abreast of new developments in this rapidly evolving industry. I achieve this by participating in Kaggle & Zindi Data Science competitions, taking new e-courses on DataCamps website, and reading Data science news on Google’s news feed.
What do you enjoy doing for fun outside of the office?
Thanks for sharing with us, Olayinka!