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With the growing popularity of YouTube videos showcasing residential real estate developments across Ghana, it is evident that the sector is attracting significant interest and investment. However, this raises an important question: how do developers decide where to build, what to build, and at what price point? In this article, I explore how developers can increase their return on investment (ROI) by using data to: Identify optimal locations for development projects Segment

According to the African Business magazine, “The African fashion industry is estimated to be worth $31bn.” Fashion is an integral part of African culture. Dressing up for weddings, naming ceremonies, birthday parties and other events is undisputedly a core aspect of our vibrant culture. Our skilled designers are kept busy in a highly competitive market sewing kaftans, boubous, intricate kente outfits, among others for these important social events. Business owners in Africa,

The ability to predict future outcomes is what got me interested in Data Science. It immediately drew me in and I knew it was the career I wanted to pursue. When the predictive modelling classes for my data science master’s program began, I wondered how accurate model predictions could be. Could predictions be 70%, 80%, or even 90% accurate? “That would be amazing!”, I thought to myself and the answer turned out to be yes but it didn’t end there; the more important questions

In a previous article, I shared the results from a survey I conducted to understand the biggest challenges Data Scientists face when it comes to Data Storytelling and collaborating with business stakeholders to successfully execute data science projects. As a reminder, based on the survey, the biggest challenges Data Scientists face when it comes to collaborating with business stakeholders are: Difficulty influencing decision making with data insights (30% of responses) A

I conducted a survey to understand the biggest challenges Data Scientists face when it comes to Data Storytelling and collaborating with business stakeholders to successfully execute data science projects. In this survey, an anonymous respondent additionally shared this comment: “I've come to realise that stakeholders do not really trust your analysis sometimes when they realise there may be errors from your data source . Some organisations don't really have a structu

AI's impact on professionals, businesses, and society as a whole continues to be a subject of active debate. After more than 8 years of doing the heavy lifting of coding myself, I began using AI more regularly over the past two months to help me write code for my data science projects. In this article, I will share how Data Scientists can benefit from using AI and also provide recommendations on how it (AI) can be used in a way that still allows for well-rounded skill develop