Abebi Tijani

I am a results-driven data scientist with 5+ years building and deploying scalable machine learning and recommender systems for ecommerce and business intelligence. I design interpretable, production-ready recommendation engines and integrate them with platforms such as Shopify Plus and Airtable to deliver measurable business impact.

I have engineered deterministic recommendation models using weighted naive Bayes and regularized logistic regression, developed Python-based APIs with FastAPI, and implemented logging, retraining, and guardrail systems that reduced errors and improved recommendation precision. I also automated ETL pipelines, created Power BI and Tableau dashboards, and translated complex statistical outputs into clear, actionable insights for stakeholders.

I collaborate effectively across cross-functional teams—aligning ML solutions with inventory, pricing, and taxonomy constraints—to enhance personalization, customer experience, and operational efficiency. I am committed to robust model monitoring, reproducible workflows, and delivering data-driven results that drive growth and reduce costs.