Data science is an enticing career. It’s a growing field that pays well due to ever-increasing demand. It’s multi-disciplinary, challenging, and highly creative, but not everyone may enjoy it. A career in data science is highly technical, requires immense problem-solving skills, and never stops changing and growing. One of the…

Introduction This article was inspired by recently completing my largest data engineering project. I’ve assisted a half dozen sales teams with prospecting over the past year. I handled each project as an ad hoc, urgent request. I knew the requests would continue as they got hooked on the data. I decided…

Have you ever felt like you’re not good enough to be a data scientist? Like you’re just faking it, and sooner or later, someone will figure out that you don’t know what you’re doing? If so, you’re not alone. Many data scientists suffer from imposter syndrome. Imposter syndrome is the…

Introduction Analytics is increasingly infused throughout organizations to help leaders make data-driven decisions. All teams consume and create data that has the potential to add value back to the company. The challenge is that these decentralized teams likely have different analytic tools and capabilities. …

Though each customer is unique, grouping similar customers can be very beneficial. This grouping, or clustering, is critical for businesses interacting with customers at scale. For example, developing a unique customer retention initiative per customer is untenable, especially if the company has thousands of customers. Instead, the business needs to…