Lamiae Ait M'birik

• Integrated and updated large data pipelines by developing automation modules reducing repetitive processing time. • Improved quantitative and qualitative data processing workflows, including validation and continuous data quality checks. • Developed machine learning models to predict customer churn, leveraging behavioral and transactional data to design targeted retention strategies and improve annual engagement rates. • Designed financial forecasting models based on dynamic consumption data, supporting strategic decision-making. • Conducted extensive exploratory data analyses to uncover usage patterns, correlations, and optimization levers.

• Developed a full-stack NLP-based recommendation system for HR consultant staffing (ranking model, feature engineering, deployment). • Designed predictive pricing models using machine learning on time-series and contextual data to optimize pricing strategy. • Automated reporting workflows by creating dashboards and data pipelines, providing real-time insights to stakeholders.