Hello, I’m Brian Seko. In the vast sea of data, I find my calling in distilling complex information into clear, actionable insights. My work spans various sectors, demonstrating that the principles of data science are universal, whether applied to healthcare, finance, or technology.

With a Master of Applied Data Science from the University of Michigan and a Bachelor’s degree in Psychology from Marist College, my educational journey has equipped me with the tools to approach data with both a technical and a human-centric perspective. This blend allows me to navigate and make sense of diverse data landscapes effectively.

My focus has been on projects that require a deep understanding of BI analytics, process improvement, and predictive modeling. These initiatives often involve crafting R-based forecasting engines or developing Python algorithms to enhance operational efficiencies.

Through my blog, Easy Data Does It, I share experiences, insights, and the occasional challenge, hoping to demystify data science and encourage others in their data journey.

What I Bring to the Table:

• A balanced skill set in data science, rooted in both technical prowess and an understanding of human behavior.
• Experience in applying data science principles across various domains, demonstrating versatility and adaptability.
• A commitment to clear, effective communication of complex data insights, aimed at fostering understanding and informed decision-making.
• An ongoing pursuit of learning and sharing knowledge, contributing to the data science community through blogging and collaboration.

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In every dataset, I see an opportunity to learn, improve, and contribute. My aim is not just to solve problems but to do so in a way that is understandable, accessible, and beneficial to as many people as possible. Let’s explore what data can do when approached with curiosity and rigor.