Open to opportunities

Ihunanya Onunka

@ihunanyaonunka

Message

I build predictive models and anomaly detection systems that reduce operational risk and costs.

Nigeria

Message

What I'm looking for

I'm looking to apply machine learning, statistical modelling, anomaly detection, and experimentation to high-impact systems where data can reduce risk, improve reliability, and drive measurable operational outcomes.

I've delivered data-driven operational improvements at Nanya's Print Hub, reducing energy costs by 48%, achieving 65% ROI through performance-linked compensation, and cutting text-processing time from 48 hours to 3 hours with an OCR digitization pipeline.

At Infravision Limited, I monitored telemetry across 500+ sites, built predictive outage alert frameworks that saved 40+ hours of annual downtime, and improved incident resolution through 98% diagnostic accuracy. Earlier at Biswal Limited, I supported real-time risk signalling for 800+ critical sites and helped resolve more than 50 operational outages monthly.

I'm focused on statistical modelling, machine learning, anomaly detection, and RLHF systems, using Python, R, SQL, and experimentation to turn complex operational data into scalable mitigations.

Experience

Work history, roles, and key accomplishments

Current

AI Data Scientist – Reinforcement Learning Systems

Current

Turing

Mar 2026 - Present (5 months)

Developed and optimized valuation frameworks for RLHF environments, scaling data pipelines to analyze complex behavior and fine-tune response criteria. Engineered feature spaces and designed statistical experiments to isolate pattern anomalies, collaborating with engineering and quality teams to boost output consistency.

Reinforcement Learning RLHF Pipeline Data Pipelines Feature Engineering Python SQL Cross Functional Collaboration