About me

I'm a passionate, detail-oriented data analyst skilled in Python, R, data visualization, power BI, databricks and predictive modeling. I transform complex data into actionable insights and thrive on solving real-world problems. This portfolio highlights my key projects in data analytics, spatial and non spatial modeling.

Skills

• Languages and Tools: Python, R, TensorFlow, Excel, SQL, power BI, Azure databricks, Pandas, Matplotlib,
• Areas: Data cleaning, modeling, EDA, spatial and spatio-temporal analysis

Projects

🔗 DeepKriging for Soil pH Prediction

         *Capturing spatial dependencies for improved agricultural management.*

DeepKriging for Soil pH Prediction

🔗Stability in feature selection

          Improving Reproducibility and Reliability in Gene Expression Classification

Stability in feature selection for RNA-seq data

🔗 Bayesian Spatial Analysis of Crash Severity Data

Using INLA and Identifiability Constraints for Road Safety Insights

🔗 Socio-economic inequalities in the determinants of catastrophic expenditures in hypertension management in Ghana

Decomposition analysis

🔗Using Artificial Neural Networks to Reduce Cost Overrun Risks in Infrastructure Projects

Application of Artificial Neural Networks to Reduce Cost Overrun Risks