Chukwudi Ekweani — Business Development Executive

I’m Chukwudi Ekweani, a Data Analyst, Educator, and Storyteller committed to making data simple, useful, and human-centered. I combine my background in mathematics education with advanced data analytics training to turn raw numbers into actionable strategies for businesses, classrooms, and communities. Growing up, I always loved numbers—not just because they were logical, but because they told stories. A graph wasn’t just a line; it was a journey. A dataset wasn’t just a table; it was a narrative waiting to be uncovered. That mindset followed me from teaching algebra and statistics to high school students, to building demand forecasting models that help businesses optimize pricing and inventory. At Nexford University, I earned a Master’s in Data Analytics and led projects that merged forecasting models like SARIMAX with interactive Streamlit dashboards to empower decision-makers in the retail space. In one of my capstone projects, I modeled product demand for a clothing category across multiple regions, using time series analysis to simulate real-world pricing decisions. I’ve also developed tools and tutorials to help others grasp SQL, Python, and business analytics concepts—because I believe data shouldn’t be a gatekeeper, it should be a gateway. My technical toolkit includes: Python (Pandas, NumPy, scikit-learn, Statsmodels) SQL/SQLite, PostgreSQL Power BI, Excel, Streamlit Machine Learning, Forecasting, Statistical Modeling Teaching: Algebra, Calculus, Statistics, and Probability Whether you’re a school administrator trying to digitize your systems or a company looking to forecast demand more accurately, I’m here to help you see the story in your data—and act on it. 📬 Let’s connect: ekweanichukwudi@gmail.com 🔗 Or follow my journey here on LinkedIn, where I share lessons from my data projects and my transition from classroom to tech.

Stackforce AI infers this person is a Data Analyst with a strong focus on education and data storytelling.

Experience: 10 yrs 2 mos