Building meaningful projects and continuously expanding my knowledge in data science, statistical analysis, and software development. This is where I showcase my work, share my learning journey, and collaborate with the community.
- Data Science Projects: Leveraging R and statistical methods to solve real-world problems
- Learning & Development: Deepening expertise in data analysis, visualization, and reproducible research
- Open Source: Contributing to and maintaining projects that make a difference
My current toolkit includes:
- Languages: R (97.8%), Shell (2.2%)
- Focus Areas: Data Science, Statistical Analysis, Data Visualization
- Interests: Machine Learning, Data Engineering, Reproducible Research
- datasciencecoursera - A repository dedicated to Data Science exploration and coursework
- Advancing data science methodologies and techniques
- Building scalable data pipelines
- Mastering modern data visualization tools
- Contributing to meaningful open-source projects
I'm always interested in:
- Discussing data science challenges and solutions
- Collaborating on interesting projects
- Sharing knowledge and learning from others
- Exploring innovative approaches to data problems
Feel free to reach out if you'd like to connect, collaborate, or just chat about data science!
Last updated: 2026-02-19