This is part of a series where we speak with graduates to discover what drives their interest in working with data and what they hope to accomplish. This week, we highlight Foster Twumasi.
Foster Twumasi is an experienced Research Assistant with a background in the law enforcement and insurance industries. He graduated from the University of Ghana with a Bachelor’s of Science in Statistics and Computer Science and now works as a Data Analyst at Vanguard Assurance, an insurance company in Ghana. He recently completed a Machine Learning Fellowship at Blossom Academy.
I have worked as a Research Assistant in the past and am currently a Data Analyst. My current role entails using R and Python to make meaning out of data. This includes dashboard creation, data visualization, and statistical modeling. When I completed my first degree, I read an article on data science and I was fascinated by it. Ever since, I’ve been searching online to learn more. DataCamp has been very helpful and insightful for my personal growth.
I’m interested in applying my data science knowledge in the agriculture sector. I strongly believe machine learning techniques can be used to improve soil management, disease detection, species recognition, yield prediction, and livestock production.
Insights can be derived from collecting data on crops, livestock, and other factors that affect agriculture. Machine learning techniques like regression and computer vision can be applied to the sector to derive patterns and build better predictive models that will help improve production.
DataCamp has provided me with the necessary skills to approach this task. DataCamp courses on unsupervised learning, supervised learning, and convolutional neural networks have given me insight on how to approach this problem.
My main challenge in taking online data science courses is that the community is made up of people with different levels of expertise and understanding. As someone who is relatively new to data science, it is sometimes difficult to keep up with people who have much more advanced knowledge.
There has been a high interest in data science on the continent lately due to the high demand for data scientists worldwide. I believe in the next three years, we will have many more capable data scientists from Africa. To develop well-trained and efficient data scientists, hands-on programs like DataCamp and Blossom Academy will be instrumental to not only teach concepts but also to provide skills and knowledge in the field.
Data has numerous use cases on the African continent. Data can be used to provide better healthcare and education in the region. And basic data visualization techniques will provide insights on their current states, their effects, and how they can be improved.
Blossom Academy is a technology talent development company that recruits and develops African analytics talent, with the goal of connecting them with full-time job opportunities. Kindly click on www.blossomacademy.co to read more about us.
***This post was originally shared on DataCamp. To read, click here.