Lamiae Ait M’Birik

Integrated and updated large data pipelines by developing automation modules, reducing repetitive processing time. Improved data processing workflows with validation and ongoing data quality checks. Built machine learning models to predict customer churn and designed targeted retention strategies. Developed forecasting models based on dynamic consumption data to support strategic decision-making. Conducted extensive exploratory data analyses to uncover usage patterns and optimization levers.

Designed and deployed a full-stack NLP-based recommendation engine automating HR staffing decisions (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.

Developed a full-stack NLP-based recommendation system for HR consultant staffing (ranking model, feature engineering, deployment). Designed predictive pricing models using ML 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.