I'm a data analyst with a strong foundation in bioinformatics and biostatistics, experienced in working with clinical, biological, and healthcare datasets.
I extract insights from complex information using R, Python, and SQL, applying scientific rigor and a clear analytical mindset.
My background bridges research and applied analytics, enabling me to transform data into clear, actionable insights for decision-making in healthcare and beyond.
- Healthcare and scientific data analytics
- Exploratory analysis, data cleaning, and visualization in R and Python
- Predictive modelling, clustering, and pattern analysis
- Workflow design, reproducible analysis, and analytical reporting
- Turning complex datasets into clear insights for research and decision-making
Languages: R, Python, SQL
Tools: tidyverse, pandas, ggplot2, seaborn, scikit-learn, Power BI, Tableau
Domains: Data analytics, healthcare research, bioinformatics
Strengths: Data cleaning & wrangling, statistical modelling, dashboards, and analytical reporting
Check out the repositories below — a collection of applied projects using real-world datasets, exploring data cleaning, visualization, and predictive modeling across science and sustainability contexts.
I'm always open to collaborating, sharing ideas, or contributing to meaningful data-driven projects.
Feel free to reach out — happy to connect with others passionate about science, data, and sustainability.
📧 israelddh@hotmail.com
🔗 LinkedIn
🆔 ORCID Profile