Hi there 👋!
I’m Dr. Neba Nfonsang — Principal Data Scientist & AI Consultant with a passion for solving complex business and real-world problems using data. This site is a personal space where I share tutorials, lessons, and articles created for educational purposes. All content reflects my own experience and insights, and is not affiliated with any institution.
Industry Leadership ⭐⭐⭐⭐⭐
With a strong track record of leading end-to-end analytics, data science, machine learning, and AI projects, I’ve scoped, designed, and delivered impactful solutions for Fortune 500 clients across diverse industries including retail, technology, automotive, manufacturing, energy utilities, and others. These projects have spanned the full lifecycle — from data ingestion, data preparation and exploration, feature engineering to model building and evaluation, model deployment and drift monitoring — giving me deep, hands-on expertise in building and operationalizing end-to-end advanced analytics and ML/AI systems.
DS/ML/AI Engineering ⚙♂
I built an end-to-end automated machine learning software that streamlines the entire ML pipeline. The software ingests data, performs automatic cleaning, exploration, and transformation, then handles model building, hyperparameter tuning, and model comparison. It analyzes the best-performing models, versions configurations, and deploys the optimal model as an API endpoint for both batch and real-time predictions. The system automatically generates comprehensive 15-24 page reports with relevant graphs, tables, and annotations documenting the entire process. A demo is available upon request.
Academic Excellence 📘
From 2017 to 2025, I served as an Adjunct Professor of Applied Data Science and AI at the University of Denver. Over the years, I’ve taught nearly 80 graduate-level classes across 13 different courses, including:
- Python Programming
- Python Software Development
- Applied Machine Learning
- Business Analytics
- Statistics for Data Science
- Distributed & Parallel Computing for Data Science
- Data Science Tools
- Cloud Computing
- Applied Research
- Education Research & Measurement
My teaching philosophy centers on hands-on, project-based learning that mirrors real-world challenges. I design curricula that equipp learners with the skills to build scalable, production-grade data science solutions.
Corporate Training & Workshops 💬
I’ve had the privilege of training companies both in-person and virtually, helping teams develop and deploy data science, machine learning, and AI solutions globally. Highlights include:
- Supporting a 40-hour, industry-focused AI training program for a major insurance company
- Designing and leading a comprehensive training on electricity demand and price forecasting, featuring over 400 custom slides and hands-on instruction covering the full MLOPs workflow
Ongoing Innovation 💡
Beyond education and training, I continue to lead and contribute to data science and AI projects across a wide range of industries. I apply cutting-edge techniques to solve complex business challenges, helping organizations unlock value from their data through innovative analytics, machine learning, and AI-driven solutions.
Education 🎓
PhD in Research Methods and Statistics | June 2022University of Denver | Denver, CO
Master of Business Admininstration | May 2016
University of North Datakota | Grand Forks, ND
Master of Educational Leadership | May 2014
University of North Datakota | Grand Forks, ND
BSc in Physics