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https://github.com/omari-kd/data-analytics

Welcome to my Data Analytics Portfolio, which includes structured projects in both Data Science and Data Analysis, implemented in R and Python.
https://github.com/omari-kd/data-analytics

data-analysis data-analytics data-science machine-learning

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Welcome to my Data Analytics Portfolio, which includes structured projects in both Data Science and Data Analysis, implemented in R and Python.

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# Data-Analytics

Welcome to my **Data Analytics Portfolio**, which includes structured projects in both **Data Science** and **Data Analysis**, implemented in **R** and **Python**.

This repository is organized to reflect both the **type of analytics** and the **programming language** used, demonstrating a range of skills from exploratory data analysis to machine learning modeling.

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## Folder Structure
Data Analytics/
├── Data Science Project in Python/
├── Data Science Project in R/
├── Data Analysis Project in Python/
└── Data Analysis Project in R/

### Descriptions:

| Folder | Description |
|------------------------------------|-------------|
| `Data Science Project in Python` | Predictive modeling, machine learning, or automation using Python libraries like scikit-learn, pandas, matplotlib, etc. |
| `Data Science Project in R` | Machine learning or statistical modeling using R packages such as `caret`, `tidymodels`, `ggplot2`. |
| `Data Analysis Project in Python` | Exploratory and descriptive analysis using Python for insights, visualizations and business reporting. |
| `Data Analysis Project in R` | Data wrangling, visualization and reporting using R’s powerful data analysis tools. |

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## Tools & Technologies

- **Languages**: Python, R
- **Libraries/Frameworks**:
- *Python*: Pandas, NumPy, Matplotlib, Seaborn, scikit-learn
- *R*: tidyverse, ggplot2, dplyr, caret
- **Others**: Jupyter Notebook, RMarkdown, Git

---

## Purpose

This portfolio is intended to:
- Showcase a range of data analytics skills
- Provide examples of real-world project structure
- Demonstrate proficiency in both R and Python
- Serve as a learning and reference resource

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## How to Use

Each subfolder is a standalone project. To explore:
1. Navigate into any project folder
2. Follow the individual `README.md` for setup and details (if available)
3. Open notebooks or R scripts for code and results

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## Contact

For questions, feedback or collaboration:
- 📧 Email: [gmail](omarieben7@gmail.com)
- 🌐 LinkedIn: [linkedin-profile](https://www.linkedin.com/in/omarieben/)

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> **Note**: This portfolio is a work in progress. More projects and documentation will be added regularly.