Projects

Machine learning, data analysis, scraping and front-end work. Source code is on GitHub and Kaggle.

ai-powered-waste-collection

An AI solution for managing waste collection and protecting public health. I was the team leader, from the first brainstorm to the final presentation.

Team leadership
AI
Pitching

car-price-prediction

Predicts car prices from features such as make, model, year and mileage, from data cleaning to model training.

Python
Pandas
scikit-learn

GitHub

titanic-survival

A Kaggle classification challenge, from exploratory analysis to model optimization.

Python
Classification

Kaggle

README of the Food Choices dataset analysis

food-choices-behavior

Explores how income, gender and health consciousness shape eating habits and spending.

Python
EDA
Seaborn

Kaggle

ecommerce-customers

Analysis of e-commerce customer data with a linear regression model for prediction.

Python
Linear regression
Matplotlib

GitHub

black-friday-eda

Exploratory data analysis of a Black Friday sales dataset.

Python
Pandas
Seaborn

wuzzuf-job-scraper

Collects tech job listings from Wuzzuf into CSV files to map the skills employers ask for.

Python
BeautifulSoup
Requests

obesity-risk-prediction

A multiclass classification project that predicts obesity risk categories.

Python
Classification

Kaggle

front-end-builds

Interface work in plain HTML, CSS and JavaScript: a clone of the Khamsat marketplace, a Twitter (X) layout with dark and light mode, and a Guess My Number game that uses DOM manipulation.

HTML
CSS
JavaScript