Tech Stack
Python
R
React
FastAPI
JavaScript
HTML
CSS
Git
Power BIAI Researcher · Data Scientist · Statistician · Frontend Developer
I'm Chinedu Uzim — an AI Researcher, Data Scientist, and Statistician based in the UK, building intelligent systems that address real-world challenges in food security, healthcare, and sustainability. Currently pursuing a PhD at Leeds Beckett University, my research focuses on causal, predictive, and proactive AI for sustainable agriculture in Sub-Saharan Africa. I'm also a published researcher and the creator of SmartSkan, an AI-powered medical scan recommendation system featured by Skannr.com.
Causal, predictive & proactive AI for sustainable food security — connecting climate variability to policy in Sub-Saharan Africa.
Built Skannr's intelligent symptom-to-scan AI system — hybrid medical rules + Google Gemini AI. Featured in Skannr's press spotlight.
Python, R, SQL, Power BI — from statistical modelling and GIS analysis to machine learning pipelines and interactive dashboards.
Responsive web apps with HTML, CSS, JavaScript, Bootstrap, and React/Vite. Deployed on GitHub Pages and Netlify.
An intelligent symptom-to-scan recommendation system combining structured medical rules with Google Gemini AI. Integrated with Skannr's provider network — patients see real scan options with pricing and instant booking.
View featurePhD research — a five-layer AI system connecting climate variability and agricultural data to actionable policy recommendations for Sub-Saharan Africa. Causal, predictive, and proactive AI layers.
See publicationCo-authored research developing a Personalized Geospatial Information System for rice production optimisation in Ebonyi State, Nigeria — using Sentinel-1 SAR data, spatial analysis, and statistical modelling.
Read paperMachine learning model built in R with an interactive Shiny web application for real-time house price prediction. Deployed live for public use.
Live appScraped and analysed car listings from The AA and Cinch using R — rvest, httr, and tidyverse pipelines — to uncover market pricing trends and insights.
View projectPythonRReactFastAPIJavaScriptHTMLCSSGitPower BI
Skannr spoke with Chinedu about developing SmartSkan — balancing AI innovation with patient safety and building a seamless experience connecting users to real scan providers.
International Journal of Innovative Science and Research Technology (IJISRT) · Vol. 11, Issue 5, pp. 154–174 · DOI: 10.38124/ijisrt/26may211
This study develops a PGIS framework integrating Sentinel-1 SAR remote sensing, geospatial mapping, and agricultural statistics to provide site-specific recommendations for optimising rice production in Ebonyi State, Nigeria — addressing soil fertility degradation, climate variability, and inefficient resource use through precision agriculture and evidence-based decision making.
More publications in progress · View full profile on ResearchGate →
Open to research collaborations, AI consulting, data science projects, and speaking opportunities. Feel free to reach out.