Introspectiveke User

I bridge life sciences and computation through Python-driven data pipelines, bioinformatics workflows, and scientific communication. I help research teams, biotech startups, and academic institutions turn raw biological data into actionable insights.

At Kenya Plant Health Inspectorate Service (KEPHIS), I conduct plant health diagnostics and regulatory compliance data collection for biofarm certification standards. I support laboratory quality assurance, scientific documentation, experimental design, and data integrity verification.

As a Zindi Africa data science competitor, I developed predictive models for African agricultural and health datasets using Python, Scikit-learn, and Keras, competing against more than 500 data scientists. I engineered end-to-end workflows from raw data ingestion and feature engineering through model evaluation and visualization.

I've automated BLAST query and sequence-analysis pipelines with Biopython, reducing manual processing time by 80%, and created publication-quality figures with Matplotlib and Seaborn for biochemistry manuscript submissions.