For this impact spotlight, we spoke to Rebecca, a data scientist with a background in statistics and mathematical sciences, about her journey into data science, the challenges she faced, and her experience working at Ishango. Rebecca shared insights into her role as a data scientist, the value she adds to the organization, and her aspirations for the future.
Can you tell us a bit about your background and how you got interested in data science?
My name is Rebecca, and I have a background in statistics and mathematical sciences with a specialisation in data science. My interest in data science began during my undergraduate studies, where I was fascinated by the ease and speed of writing codes to perform data analysis.
What is your current role, and how does it add value to your client organisation?
I am currently a data scientist at Ishango. In terms of value added, this job role has brought about brand advocacy amongst fellow data scientists, mostly in Africa and Nigeria, and enforced network building (by attending online conferences and participating in workshops as a representative of the organisation), which boosts the organisation’s visibility. Another involves going beyond the job description through self development, taking hold of opportunities to present and speak on worked-on solutions at data science/machine learning conferences, and acquiring professional certifications (upscaling skills).
How has Ishango supported your career growth in data science?
With Ishango, I have been able to develop relevant experiences by solving real-life industry problems. I also have access to resources and financial aid that encourage self-development, such as the DataCamp scholarship, which allows me to access different courses and obtain as many certifications as I desire. Additionally, Ishango has created networks and mentorship opportunities with experts in the field of data science. I have also been able to build my network by attending online conferences and participating in workshops as a representative of the organisation.
What are your future goals in data science?
In the next 5 years, I hope to undertake an industry-based Ph.D., acquire more relevant professional certifications, and start up a consulting firm. Ishango has been instrumental in helping me achieve my personal goals, and I look forward to growing my career further with the support of the company.