• Conducted advanced AI, machine learning, computer vision, and natural language processing (NLP) research to develop assistive technologies for accessibility and safety. • Built and deployed deep learning models (CNNs, YOLO, ResNet18) using TensorFlow and PyTorch for object detection, scene understanding, and text-to-speech interpretation. • Applied NLP and sentiment analysis using Tagget to analyze user feedback and improve system responsiveness and accuracy in assistive communication. • Performed data cleaning, annotation, and dataset preparation to ensure high-quality training data for model development and evaluation. • Utilized Python, SQL, and data visualization tools to process, analyze, and interpret large multimodal datasets, generating actionable insights for system optimization. • Collaborated with interdisciplinary teams to design AI-driven decision-support systems enhancing transportation accessibility and user experience in autonomous environments. • Produced detailed analytical reports and visualizations, clearly communicating model outcomes, performance metrics, and research findings to diverse stakeholders.

Kenya National Bureau of Statistics (KNBS) | Oct 2020 - Jul 2023

Research Assistant

• Led data collection, validation, and business analytics for national household and health surveys covering over 300,000+ households, ensuring high-quality, accurate data for strategic planning and policy insights. • Designed and implemented ETL pipelines using Python, SQL, and ArcGIS tools to extract, clean, transform, and load large, complex datasets into structured analytical databases for reporting and visualization. • Applied statistical and predictive modeling to generate actionable insights that supported public health risk assessment, budget allocation, and operational optimization. • Integrated geospatial analytics (ArcGIS, QGIS) and SQL-based workflows to strengthen data-driven decision-making and improve regional development planning. • Automated data workflows and developed KPI-driven dashboards in Tableau and Excel, empowering management teams with real-time performance tracking and trend analysis. • Partnered with IT, analytics, and field teams to ensure business goals were aligned with data strategies, improving operational efficiency and data-driven outcomes by over 40%. • Delivered analytical summaries and presentations that influenced evidence-based decision-making across national programs.

My Education

Take a look at my formal education

Masters degree in Data Science University of Maine | 2025

Bachelors degree in Applied StatisticsMaseno University | 2019

About Me

I am passionate about data science and its power to reveal hidden insights. With a Bachelor's in Applied Statistics with IT and experience as a Research Assistant, I excel in data analysis, predictive analytics, and machine learning.

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