Otuoma Erick

Data Scientist and AI Engineer with experience in machine learning, generative AI, advanced analytics, and decision-support systems across startups and digital platforms. Strong background in statistical modeling, forecasting, experimentation, LLM applications, and business-facing analytics, with hands-on experience deploying AI solutions, building executive dashboards, and translating complex data into actionable insights.

AI Engineer / Data Scientist at AICE Africa (2026-03 – Present)

• Developed AI-powered applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI architectures.
• Built and deployed intelligent workflows using LangChain and LangGraph for automation and knowledge retrieval.
• Designed vector search solutions using Pinecone and PostgreSQL to improve information retrieval and AI system performance.

Data Scientist at DigitalQatalyst (2025-08 – 2026-04)

• Built and deployed predictive models supporting automation, forecasting, and operational decision-making.
• Designed executive dashboards using Power BI and Tableau to track KPIs and performance trends.
• Collaborated with stakeholders to define metrics, evaluate model impact, and guide data-driven decisions.

Data Scientist at StackUp (2022-06 – 2024-08)

• Developed classification and clustering models for admissions analytics and customer segmentation.
• Conducted A/B testing and feature analysis to assess model performance and business impact.
• Delivered interactive analytical tools using Python, SQL, and Streamlit.

Lead Data Science Trainer at Google Developer Student Clubs (JKUAT) (2020-08 – 2024-12)

• Led applied data science training covering Python, statistics, machine learning, and analytics.
• Mentored learners on real-world projects emphasizing problem framing and experimentation.

BSc. in Actuarial Science – Jomo Kenyatta University of Agriculture and Technology (JKUAT)

Professional Program in Data Scientist – DataCamp