At Outlier AI, I evaluate AI-generated data science, machine learning, statistical reasoning, and Python outputs against quality and accuracy criteria. I also write technical challenges covering SQL, data processing, statistical analysis, machine learning, and NLP.
At Douglas Electrical Company, I built Python ETL pipelines that reduced manual reporting effort by 35% across four operational datasets, and developed Power BI dashboards for operational and financial reporting. My research project on code-switching detection in Nigerian Pidgin English achieved a best model accuracy of 0.89.

