Hatim Belfarhounia

This project is the result of the need to collect large data into a local database for analysis for the purpose of making informative decisions...

The project handles websites like booking.com Airbnb, which it scrapes, extracts various data, cleans it and insert it into a DB with the help of a user friendly dashboard that shows informative graphs, advancement state of the process of scraping and the insertion.

Achieved 2nd place in a pan-African competition by developing an AI/ML-based solution designed to predict sales trends and forecast solar energy production. This project demonstrated strong technical expertise in machine learning algorithms and data analysis, as well as practical problem-solving skills in handling complex, real-world datasets. Additionally, the accomplishment highlighted effective teamwork and collaboration, as we coordinated efforts to design, implement, and optimize the solution under competitive conditions. The project not only reinforced proficiency in AI/ML techniques but also underscored the ability to deliver impactful solutions addressing both commercial and renewable energy challenges.