khaoula nadi
Data Science / AI Intern – OCP Group @ OCP Group
Morocco
Casablanca
Information Technology & Services
Long Short-term Memory (LSTM), XGBoost, Streamlit, NumPy, Data Visualization, Python (Programming Language), Machine Learning, Financial Analysis, Random Forest, Anomaly Detection, Spring Boot, Keycloak, Brevo, Back-End Web Development, Fraud Detection, Pandas (Software), Statistical Modeling, Systems Modeling, Arabic, Jupyter
Experience

Data Science / AI Intern – OCP Group
El Jadida, Casablanca-Settat, Morocco
Internship Worked on a national-scale drought monitoring and prediction project for Morocco in a context of limited country-specific open data availability. Extracted and processed environmental and climate data (2014–2024) using Google Earth Engine (GEE) and global datasets such as MODIS, CHIRPS, and ERA5. Engineered key environmental features including precipitation, evapotranspiration, NDVI, VCI, soil moisture (multi-depth), temperature, relative humidity, and SPI drought index. Developed LSTM deep learning models to forecast environmental variables over time. Applied XGBoost to predict the Standardized Precipitation Index (SPI) for regional drought risk assessment. Evaluated models to ensure robustness and reliability of drought predictions. Built an interactive Streamlit dashboard for real-time visualization of drought indicators across Morocco, supporting water resource management and decision-making. Tools & Technologies: Python · Google Earth Engine · MODIS · CHIRPS · ERA5 · LSTM · XGBoost · Streamlit · Pandas · NumPy · Data Visualization

Artificial Intelligence Intern – Saphir System
Casablanca, Casablanca-Settat, Morocco
Remote Internship Worked on a credit card fraud detection system during a remote internship, collaborating in a distributed team environment. Addressed a real-world limitation of labeled data by introducing a “suspicious transaction” category in addition to fraud and non-fraud. Designed and implemented an anomaly detection approach using Random Forest to identify suspicious transactions for manual review. Developed a classification model (Random Forest) to validate and categorize transactions after review. Built a secure web application using Spring Boot to operationalize the fraud detection system. Integrated Keycloak for authentication and access control. Implemented real-time email notifications for managers using Brevo when suspicious activity was detected. Strengthened skills in machine learning, backend development, security integration, and remote collaboration. Tools & Technologies: Python · Random Forest · Machine Learning · Spring Boot · Keycloak · Brevo · Backend Development · Fraud Detection
Education
khaoula nadi's Contact Information
Phone
Find the Right Leads
Find Verified Contact Data
What LeadContact does well
Find verified emails, phone numbers, and decision-makers with 98% accuracy.
Find Leads
Find the right people by company, role, industry, location, and more.
925M+ professional profiles

Find Emails
Access verified email addresses for your target contacts.
657M+ emails

Find Phone Numbers
Get cross-validated phone data from multiple top sources.
239M+ phone numbers

More Accurate. Lower Cost.
Find contact data in 1 tool with 98% accuracy
LeadContact integrates leading enrichment tools to deliver more accurate contact data—without paying for each one.
Great conversations start with the right contact.
It’s time to find yours.



