Efosa Osazuwa online

Data scientist, builder, and optimization engineer working at the intersection of machine learning, decision systems, and energy.

This is the front door to everything Efosa Osazuwa: current projects, short technical notes, and the practical systems I am building around optimization, analytics, and software.

Featured projects

Projects that turn technical ideas into useful systems.

I use this site to collect project work around optimization, machine learning, and lightweight applications. Some are public experiments, some are work-in-progress, and all of them reflect how I like to think: practical, high-leverage, and decision-oriented.

Browse the projects page

Latest notes

Short writing on optimization, energy, and building.

The notes section is where Efosa Osazuwa writes in public. It includes short essays on optimization in energy systems, project breakdowns, and observations from building technical products from scratch.

Visit the notes page

About

What this site is for

Efosa Osazuwa works on technical problems where modeling and decisions matter. That includes machine learning, optimization, forecasting, analytics, and the software needed to make those systems usable by real people.

There is a particular interest here in energy-related optimization: the kinds of problems where constraints, uncertainty, timing, and economics all collide. This website is meant to be a clear, durable home for that work.

Start here

Three good entry points

Projects

Explore the apps, prototypes, and workstreams currently taking shape.

Open projects

Notes

Read short posts on optimization in energy and on building technical tools.

Open notes

Contact

Reach Efosa Osazuwa directly by email, or use GitHub as the public profile hub.

efosazuwa0@gmail.com

Selected work

Two portfolio projects already worth opening

Lead time effect chart from the hotel reservation prediction project

Full Stack ML pipeline for hotel reservation prediction

A machine learning pipeline for predicting hotel reservation cancellations using the Python data stack, Docker, Jenkins, and MLflow.

View the project on GitHub
Wind production scenarios for the stochastic optimization energy arbitrage project

Stochastic optimization for energy arbitrage against renewable assets

A Pyomo-based energy market model focused on buying and selling decisions under renewable production uncertainty and market clearing rules.

View the project on GitHub