Franco Arda holds a Doctorate (DBA) in statistical modeling and is an expert in data analytics, business intelligence, and quantitative finance. With over 10 years of experience in investment banking — including senior roles at Deutsche Bank Hong Kong and BNP Paribas Paris — and another 10 years in data analytics, Franco Arda brings a rare combination of financial expertise and cutting-edge data science skills.
 

Franco Arda's doctoral thesis, defended in February 2021 under the supervision of Prof. Dr. George Iatridis, focused on improving the accuracy of the Benford algorithm via Monte Carlo simulation for sample size determination.
 

His areas of expertise include machine learning, ETL development, KPI reporting, Power BI, Tableau, Python, R, Monte Carlo simulations, and Value at Risk (VaR) modeling. Franco Arda has delivered high-impact BI and analytics projects for global companies including Volkswagen, DHL, Siemens, and Infineon Technologies.
 

A certified Swiss Federal Financial Analyst (eidg. dipl. Finanzanalyst), Franco Arda is based in Switzerland and works across industries at the intersection of finance and data science.
 

Ph.D. defence (link)
Ph.D. (link)

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