π― Geospatial Data Scientist | Machine Learning Enthusiast | Ethical AI Advocate
π Based in London, UK
I'm a results-driven Geospatial Data Scientist with a strong background in GIS, advanced analytics, and machine learning. I specialize in transforming spatial and non-spatial data into meaningful insights that drive sustainable decisions across diverse industries, including ESG, finance, healthcare, and environmental management.
With a passion for ethical AI and scalable data science solutions, Iβve led impactful projects that optimized operations, improved healthcare outcomes, and enhanced environmental monitoring.
- π Geospatial Data Science: Spatial analytics, GIS software (QGIS, ArcGIS Pro), interactive mapping
- π€ Machine Learning & Deep Learning: Model development using TensorFlow, PyTorch, Scikit-learn
- π Data Visualization: Dashboards with Tableau, Power BI, Plotly Dash, Matplotlib
- π Statistical & Predictive Modeling: Regression, classification, clustering, time-series (ARMA, GARCH)
- π§ Ethical AI & ESG: Data solutions for environmental, social & governance (ESG) reporting
- π Monitoring & Evaluation (M&E): Program frameworks, impact analysis, dashboard reporting
- π€ Machine Learning & Deep Learning: Python, TensorFlow, PyTorch, Scikit-learn
- π± ESG & Sustainable Data: ESG metrics modeling, risk analysis, scenario planning
Skills | Tools & Libraries |
---|---|
Programming | Python, R, JavaScript, SQL |
GIS Tools | QGIS, ArcGIS Pro, AutoCAD Civil 3D |
ML/AI | TensorFlow, PyTorch, Scikit-learn, Pandas, Numpy |
Data Viz | Tableau, Power BI, Plotly, Matplotlib |
Spatial Analysis | GeoPandas, PySAL, Folium |
DBs & APIs | PostgreSQL/PostGIS, MongoDB, REST APIs |
M&E Systems | Custom dashboards, indicators tracking, field data automation |
- ESG Modeling at Communique: Built predictive models and dashboards to assess ESG impact and risk.
- Tuberculosis Prevention Dashboard (Georgetown University): 45% improvement in HIV-related health interventions.
- British Airways Data Science Simulation: Review scraping, churn prediction, customer sentiment modeling.
- WorldQuant Data Science Lab: Completed 8 real-world projects (time series, clustering, APIs, dashboards).
- BCG & Commonwealth Bank Simulations: Customer churn, social media data engineering, and anonymization.
- π MSc Geographic Data Science β Birkbeck, University of London (2024)
- π PGD Remote Sensing & GIS β Nigeria Defence Academy (2019)
- π BSc Land Surveying β Ahmadu Bello University (2011)
- π LinkedIn
- π GIS Portfolio
- π GitHub Projects
- π§ Email
βData is more than numbers β it's a narrative. I turn that narrative into clarity, action, and value.β