End-to-end pipeline for hydrometeorological time-series processing and flash-flood modeling with a ML framework. Integrates rain-gauge and river-stage data through advanced preprocessing (with outlier detection & noise filtering) for flood forecasting with classical ML models; performance evaluation and exploratory/statistical analysis of results.

Early Detection of Process Excursions from Sensor Data - AI-powered anomaly detection with Upload & Analysis, Mock Stream, and Gemini Chat Agent

Analyse exploratoire du dataset Airbnb de New York à l’aide de Python. Ce projet vise à comprendre les facteurs influençant les prix des logements, la disponibilité, et les différences entre quartiers et types de logements, à travers le nettoyage des données, l’analyse statistique et la visualisation.

This repository hosts a study analyzing the impact of mental health on students' academic performance, specifically looking at GPA correlations. Using Python for statistical analysis, it challenges prior research by demonstrating no negative correlation between mental health issues and academic success.