Aspiring Data Analyst with practical experience in Python, data cleaning, exploratory data analysis, statistical analysis, data visualization, and interactive web applications.
I have completed several end-to-end projects involving real-world datasets, applying analytical techniques to uncover insights and support data-driven decision-making.
Currently building a portfolio focused on:
- Python Programming
- Data Cleaning & Preprocessing
- Exploratory Data Analysis (EDA)
- Statistical Data Analysis
- Data Visualization
- Interactive Web Applications
- Version Control with Git & GitHub
Interactive Streamlit web application for exploring and visualizing used vehicle sales data.
Technologies: Python, Pandas, Plotly, Streamlit, Render
Repository: https://github.com/etienne-94/vehicles-app
Live Demo: https://vehicles-app-epdt.onrender.com
Analysis of historical video game sales data to identify patterns associated with commercially successful games and support marketing decisions.
Technologies: Python, Pandas, NumPy, Matplotlib, SciPy
Repository: https://github.com/etienne-94/video-game-sales-analysis
Statistical analysis comparing telecom plans to determine which generates more revenue.
Technologies: Python, Pandas, NumPy, Matplotlib, SciPy
Repository: https://github.com/etienne-94/megaline-plan-profitability-analysis
Exploratory analysis of customer purchasing behavior using Instacart transaction data.
Technologies: Python, Pandas, Matplotlib
Repository: https://github.com/etienne-94/instacart-customer-behavior-analysis
Collection of foundational Python projects covering data processing, data cleaning, loops, functions, lists, dictionaries, and basic analytical workflows.
Technologies: Python, Jupyter Notebook
Repository: https://github.com/etienne-94/python-foundations-projects
- Python
- Pandas
- NumPy
- SciPy
- Matplotlib
- Plotly
- Git
- GitHub
- Jupyter Notebook
- VS Code
- Streamlit
- Render
GitHub: https://github.com/etienne-94
