Efosa Osazuwa online

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

I made this site to be the clearest place to find what I am working on: projects, short notes, and the systems I am building around optimization, analytics, and software.

Featured projects

Projects that turn technical ideas into useful systems.

I use this space to collect project work around optimization, machine learning, and small applications. Some of it is polished, some of it is still taking shape, but all of it reflects the kinds of problems I like spending time on.

Browse the projects page

Latest notes

Short writing on optimization, energy, and building.

The notes section is where I write through ideas in public, especially around optimization in energy systems, project breakdowns, and what I learn from building technical products from scratch.

Visit the notes page

About

What this site is for

I like technical problems where modeling and decisions actually matter. That usually means some mix of machine learning, optimization, forecasting, analytics, and the software needed to make those systems usable by real people.

A lot of my interest pulls toward energy-related optimization, where constraints, uncertainty, timing, and economics all collide. I want this site 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

Email is the best way to reach me, and GitHub is where I keep the public side of my work.

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