Jesse Odafe-Ighele

I’m a data analyst with hands-on data science experience across machine learning, statistical modeling, and automated workflow systems. I combine rigorous analysis with practical engineering so insights become decisions and decisions become shipped workflows.

As Co-Founder of an early-stage automation consultancy, I build done-for-you workflow systems for niche businesses across 6 international markets. I lead systems architecture and automation build—especially engineering workflow logic—and I partner on testing and client documentation while running structured market validation to focus on what customers actually want.

My technical foundation spans predictive modeling, data validation, and pattern/anomaly identification using SQL and Python tooling. I’ve also applied deep learning approaches (including LSTM and PINN variants) to real prediction work, translating complex technical results into clear stakeholder reporting for both technical and non-technical audiences.

I’m especially drawn to roles where I can own the full loop: synthesize data into weekly or operational briefs, automate research and reporting pipelines, and design reliable systems that reduce manual effort. I enjoy setting KPIs, documenting logic clearly, and iterating based on feedback until results are measurable and repeatable.