HAMZA EL QADIRI
Data Engineer

Developing a lightweight anomaly detection system for climate sensor data targeting Edge Computing. Built a data acquisition pipeline to collect sensor data from the greenhouse for analysis and anomaly detection. Analyzing sensor data quality, missing values, gaps, and temporal patterns. Investigating lightweight neural-network and autoencoder-based approaches for anomaly detection. Designing the workflow from data acquisition → preprocessing → anomaly detection → model evaluation → Edge deployment. Working toward deployment and testing on NVIDIA Jetson hardware.

Built an end-to-end AI-powered real estate analytics platform, designing ETL pipelines to collect, clean, and process property listings for analytics and machine learning. Trained a property price prediction model achieving 12.3% normalized RMSE, and developed Streamlit dashboards for market analysis and geospatial visualization. Integrated a RAG-powered chatbot for intelligent property search and insights, and deployed the complete solution as a Django web application.

Data Collection (Python code, Parsehub) Data Analysis and Visualization using the Streamlit library Mapping with Mapbox Implementation of machine learning models for price estimation and prediction Development of a Chatbot with Voiceflow Integration of these components into a website developed with Django