#Portfolio
Based in Chad, I turn raw data into clear, actionable insights. My background bridges data analysis with communications and international development work, which shapes how I approach problems: I don’t just build models — I make sure the findings are understood and used by the people who need them.
This repository serves as a portfolio of my data analysis projects, showcasing my technical skills and problem-solving approach.
| Category | Tools |
|---|---|
| Languages | Python, SQL [add R, etc. if applicable] |
| Data Libraries | Pandas, NumPy, Matplotlib, Seaborn [adjust to your actual stack] |
| Visualization | [Power BI / Tableau / Looker Studio — specify] |
| Other | Data cleaning & preparation, exploratory data analysis, statistical analysis, dashboarding |
Active participant on Kaggle and Zindi, applying data science skills to real-world competition datasets.
Objective: [e.g., Analyzed e-commerce sales data to identify growth opportunities and customer segments] Tools: Python, Pandas, Matplotlib Key Findings: [e.g., Identified three high-value customer segments driving 60% of revenue] Links: Notebook · Dashboard (if applicable)
Objective: [brief description] Tools: [tools used] Key Findings: [main insight] Links: Notebook
Objective: [brief description] Tools: [tools used] Key Findings: [main insight] Links: Notebook
Explore the folders in this repository for the full detail of each analysis, including notebooks, methodology, and visualizations.