Skill set
Aymen in a few words
Highly accomplished Statistician & Data Analyst with over 17 years of experience in the
telecommunications sector, currently serving as Director of Mobile Access and Studies at INTT (Tunisian Telecommunications Regulator). Extensive expertise in statistical modeling, data analysis, and predictive modeling, with hands-on proficiency in R language, large-scale data management. Proven ability to apply regression models, probability concepts, and selection bias corrections to real-world problems. Strong background in interconnection management, tariff analysis, Management of QoS and QoE in Telecom Networks and regulatory decision-making within the telecom industry.
Experience
- INTTDirector of Mobile Access and StudiesSeptember 2007 - Today (17 years and 8 months)Tunis, Tunisia
- Led advanced statistical modeling to support telecom regulatory policies, including cost-based pricing and interconnection tariff modeling.
- Implemented selection models to analyze incomplete datasets and remove selection bias in telecom market studies.
- Developed predictive models using R to optimize decision-making for spectrum allocation, pricing strategies, and market competition analysis.
- Conducted large-scale data analysis on telecom usage, quality of service, and interconnection trends to improve regulatory frameworks.
- Designed statistical methodologies for financial impact assessments, ensuring accurate forecasting of operator revenue streams and pricing structures.
- Applied Heckman’s Two-Step Model in R to analyze selection bias in broadband pricing and telecom regulation, assessing the impact of competition, income levels, and urbanization on subscription and pricing dynamics.
- Developed interactive dashboards for telecom regulation and market analysis, leveraging data visualization tools to monitor key performance indicators, pricing trends, QoS/QoE and competitive dynamics.
- ConfidencialFreelance Consultant & TrainerJanuary 2014 - Today (11 years and 5 months)
- Conducted specialized training on econometric models, regression analysis, sampling methodologies and probability modeling for regulatory sectors and NGOs.
- Conducted workshops on R programming, teaching professionals how to analyze telecom datasets, identify trends, and apply statistical techniques.
- Advised telecom firms on interconnection cost modeling, revenue prediction, and regulatory compliance using data-driven methodologies.
- Conducted training sessions on data visualization and dashboard design, covering best practices, tool utilization, and actionable insights for decision-making.
- Delivered training on change management, focusing on methodologies, stakeholder engagement, and strategies for successful organizational transformation.
- Tunisian Engineering SchoolsUniversity LecturerJanuary 2013 - Today (12 years and 5 months)• Taught statistics, probability, and econometrics courses, focusing on real-world applications in telecommunications and regulatory economics.• Supervised student research on data-driven decision-making, telecom analytics, and market forecasting using statistical techniques.
Recommendations
Education
- Engineering Degree in Statistics & Data AnalysisEngineering Degree in Statistics & Data Analysis
Certifications
- Engineering Degree in Statistics & Data AnalysisNational Engineering School of Statistics and Data Analysis2007