Imeobong Monday

I’m a Data Scientist focused on building production-grade ML platforms, causal AI systems, and automated data pipelines for 30+ clients. Since 2022, I’ve led end-to-end work—from ingestion to ML deployment and executive reporting—while keeping strong data ethics and measurable outcomes at the center of how I operate.

I’ve delivered revenue-impacting causal and experimentation solutions, including a churn intervention model that improved AUC from 0.74 to 0.79 across 250K users and 5M events. I’ve also driven ~$336K annualised revenue impact via A/B experimentation (+0.8pp conversion lift) and reduced revenue-at-risk using PSI-based drift monitoring on 500K+ monthly predictions.

On the engineering side, I automate pipelines to improve reliability and speed—achieving 99.9% ingestion success, cutting ETL runtime by 60%, and reducing reporting turnaround by 70%. I build with Python, SQL, Airflow, and modern ML tooling (scikit-learn, XGBoost/LightGBM, MLflow, FastAPI, Docker, AWS/GCP), and I’m available for full-time, part-time, and contract remote roles worldwide.