CODE FASHIONABLY
by Nneka J. Penniston
Where fashion sensibility meets practical, impact-focused data science.
by Nneka J. Penniston
Where fashion sensibility meets practical, impact-focused data science.
Where fashion sensibility meets practical, impact-focused data science.
CODE FASHIONABLY grew from working with datasets, witnessing how analytics and machine learning can transform decisions about products, inventory, and customers.
Each piece connects back to the same idea: using movement, creativity, and bold design to help people become more confident and fully alive versions of themselves.
Code Fashionably: Retail Machine Learning for Business
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Nneka J. Penniston is an author, entrepreneur, and data professional dedicated to the intersection of technical strategy and creative impact.
With a background in data analytics and machine learning, Nneka specializes in transforming complex datasets into actionable business decisions and strategic insights. She is the author of CODE FASHIONABLY: Fashion Analytics & Machine Learning for Business Impact, where she applies high-level technical rigor to the evolving landscape of e-commerce and retail data. Through this work, she bridges the gap between style and data-driven problem solving, empowering professionals to drive superior outcomes.
Nneka is also the founder of JP MAROU, a brand born from her belief that movement and bold design empower individuals to express their most confident selves.