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Assoc Prof Dr . Bilel Ammouri | Big Data | Best Researcher Award

πŸ‘¨β€πŸ«Profile Summary

Bilel Ammouri is a seasoned Data Scientist, Data Analyst, and Actuary, holding a Ph.D. in Economic Quantitative Methods from the University of Tunis. With a background in Statistics and Information Analysis, he has excelled in academia as an Assistant Professor at the University of Carthage. Bilel’s extensive professional journey includes roles as a Senior Data Scientist at Axefinance and a Mission Leader Quantitative Analyst at Ernst & Young. His expertise spans Machine Learning, Quantitative Analysis, and Data Mining, with proficiency in Python, R, and SAS. Bilel is recognized for developing robust statistical models and credit risk analytics. Passionate about continuous learning, he actively contributes to the field through diverse projects and ongoing research.

🌐 Professional Profiles

 

πŸŽ“ Educational Journey

Embarking on a journey of continuous learning, I pursued a Ph.D. in Economic Quantitative Methods at the University of Tunis from 2014 to 2019. My commitment to knowledge didn’t stop there; I obtained a degree in Engineering with a focus on Statistics and Information Analysis from the University of Carthage in 2012 and a Master’s in Industrial Economics from the University of Tunis between 2003 and 2008.

πŸ’Ό Professional Expedition

Assistant Professor at the University of Carthage (Since December 2022) In my current role, I serve as an Assistant Professor in Quantitative Methods. Leading the quality committee, my responsibilities extend to modules covering diverse topics like Biometrics, Deep Learning, Algorithms and Programming, E-commerce, and Business Plan.

Mission Leader Quantitative Analyst at Ernst & Young (October 2022 – March 2023) At Ernst & Young, I assumed the role of Mission Leader Quantitative Analyst in Actuarial services. My mission involved comparing scenarios with external consensus, auditing normative principles related to valuation and accounting of ECL, and developing a default probability model for the factoring sector under IFRS9.

Senior Data Scientist at Axefinance (May 2019 – September 2022) My tenure at Axefinance as a Senior Data Scientist was marked by the development of statistical and machine learning models, including credit risk models, fraud detection systems, and various data mining initiatives. I played a key role in assessing model stability, performance, and conducting regular reviews. Additionally, I contributed to the development of a financial document recognition model and a framework for scorecard calculation.

Statistical Expert at ARAB MAGHREB UNION, Rabat, Morocco (April 2016 – November 2016) During my time at ARAB MAGHREB UNION, I served as a statistical expert, contributing to the design of a macroeconomic indicators database for Arab Maghreb countries. I was responsible for preparing periodic reports based on these indicators.

πŸš€ Technical Proficiencies

My technical arsenal includes over 5 years of hands-on experience in Machine Learning, Quantitative Analysis, Data Mining, and extensive use of tools like Python, R, MATLAB, SAS, Power BI, Tableau, and SQL.

🌟 Personal Touch

A creative and diligent individual, I possess a strong ability to adapt to various work environments and cultures. Known for my optimism, I excel in team collaboration and effective people management.

πŸ” Continuous Development and Specialized Training

To stay at the forefront of technological advancements, I consistently invest in my skill set. Recent endeavors include training in Artificial Intelligence and Deep Learning for Medical Applications and a Masterclass in Machine Learning for Credit Risk Analytics conducted in Python & SAS.

🌐 Global Exposure

My educational and professional pursuits have not only been confined to Tunisia but have expanded globally, including experiences in Frankfurt, Germany, and diverse projects impacting economic performance in Tunisia.

 

πŸ“šTop Noted Publication

  • “The Dynamics of Ecological Convergence to an Economic Model of Degrowth through Coherence Wavelet Analysis” (2023) – Published in Sustainable Futures. DOI: 10.1016/j.sftr.2023.1001271

 

  • “Does time-frequency scale analysis predict inflation? Evidence from Tunisia” (2021) – Published in the International Journal of Computational Economics and Econometrics. DOI: 10.1504/IJCEE.2021.114551

 

  • “The growth-CO2 emissions relationship and its effect on sustainable development: Evidence from coherence wavelet analysis” (2019) – Published in the Journal of Energy and Development.

 

  • “Forecasting inflation in Tunisia during instability: Using dynamic factors model a two-step based procedure based on kalman filter” (2019) – Published in the International Journal of Computational Economics and Econometrics. DOI: 10.1504/IJCEE.2019.097794

 

  • “Causality links among renewable energy consumption, CO2 emissions, and economic growth in Africa: evidence from a panel ARDL-PMG approach” (2017) – Published in Environmental Science and Pollution Research. DOI: 10.1007/s11356-017-8850-7

 

  • “The Dynamic Effects of Time, Health, and Well-Being on Pollution: A Post-Johannesburg Earth Summit Assessment” (2017) – Published in the Journal of Energy and Development.

 

  • “Dynamic effects of mergers and acquisitions on the performance of commercial European banks” (2016) – Published in the Journal of Knowledge Economy. DOI: 10.1007/s13132-016-0389-1

 

Bilel Ammouri | Big Data | Best Researcher Award

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