I am a science-educated researcher with a background in postharvest horticultural research, recognized for my meticulous attention to detail and commitment to continuous learning. I’m passionate about applying data science to improve agricultural practices, using R as my primary tool for data analysis, visualization, and modeling.
- Postharvest Horticulture: Focused on extending shelf life, maintaining quality, and reducing losses in fresh produce.
- Data Science: Using R for data analysis, visualization, and statistical modeling to solve real-world horticultural challenges.
- Programming: R (primary), Python (basic)
- Data Analysis: Tidyverse (dplyr, tidyr), ggplot2
- Statistical Modeling: Linear models, machine learning (caret, randomForest)
- Visualization: ggplot2, Plotly, R Shiny
- Tools: RStudio, Git, Markdown
- Postharvest horticulture and sustainable agriculture
- Data science applications in agriculture
- Continuous learning and exploring new R packages
- Email: [[email protected]]
Let’s collaborate and build something impactful! 🌱