Certified Data Scientist with expertise in Python, R, SQL, Power BI, and Geospatial Analytics. I transform complex data into actionable insights through interactive dashboards, predictive modeling, and machine learning.
Expert in data analysis, machine learning algorithms, and statistical modeling. Proficient in deriving meaningful insights from complex datasets using Python, R, and SQL. Specialized in predictive analytics, data visualization, and creating interactive dashboards with Power BI and Tableau.
Explore ProjectsAdvanced expertise in Geographic Information Systems (GIS) and spatial data analysis. Skilled in creating interactive maps, spatial modeling, and location-based insights for urban planning, environmental science, and logistics optimization using QGIS, ArcGIS, and Python geospatial libraries.
View GIS ProjectsComprehensive knowledge of machine learning algorithms, deep learning, and artificial intelligence. Experience in building and deploying predictive models, neural networks, and AI solutions. Proficient in TensorFlow, PyTorch, Scikit-learn, and MLOps practices for production-ready ML systems.
See AI ProjectsDedan Kimathi University of Technology (2024)
Stanford Online – Andrew Ng (2023)
Coursera (2023)
Advanced security analytics platform combining IoT sensor data with machine learning algorithms to predict and prevent security threats. Features real-time monitoring, anomaly detection, and automated alert systems using Python, TensorFlow, and real-time data processing frameworks.
Comprehensive data analytics solution for hospitality industry with predictive pricing models, occupancy forecasting, and customer behavior analysis. Built with Python Flask, featuring interactive dashboards, MySQL integration, and machine learning-powered recommendations.
Custom command-line interface optimized for data science workflows. Features automated data pipeline execution, batch processing capabilities, and integration with popular data science tools. Supports complex data transformations and multi-threaded processing operations.
Ranked 7th in a pan-African competition collecting agricultural and forestry data for AI-driven sustainability tools. Contributed datasets on crops and forests across Africa to build predictive models and support food security initiatives.
Visit Websitedevelop a pixel-level classification model that can distinguish between cocoa, rubber, and oil palm plantations using satellite imagery, using open-source Sentinel-2 data from the Copernicus program. (Ongoing)
Visit WebsiteIn a parallel universe , if our counterparts are making the same choices, will they all succeed?