Reda Bouharrou

– Founder of Reda Data Consulting developing data solutions focused on customer experience analysis and user satisfaction improvement – Exploit structured and semi-structured data to identify patterns, trends, performance levers – Work on supervised machine learning (classification, regression, scoring), unsupervised learning (segmentation, clustering), and deep learning (neural networks, NLP, LLM) – Model and predict user behaviors such as engagement, churn, satisfaction – Provide actionable insights to optimize user journeys, increase conversion, retention, and business success rate – Design data visualization solutions (Power BI) translating analyses into clear actionable indicators for decision making

– Developed predictive models: churn prediction, scoring client, segmentation using Kmeans, classification, regression – Feature engineering and variable selection to improve model performance – Evaluated and interpreted models (performance, explainability, business impact) using Python (scikit-learn, TensorFlow) – Implemented CX programs (NPS, CSAT, CES) – Designed customer journey analytics to identify friction points – Defined and tracked KPIs for satisfaction and loyalty – Used advanced Qualtrics features for survey design, workflow automation, and feedback analysis – Created interactive dashboards (Power BI) for performance monitoring – Translated business needs into data indicators and visualizations – Structured data pipelines and ensured data quality – Provided strategic recommendations and supported team adoption of data-driven solutions

– Managed MedTechLab projects including the dental center of the future and Drad project – Developed JavaScript for patient pathway modeling using Anylogic (3D modeling)