valery mfondoum

Led the design and categorization of indicators, followed by the mapping and optimal use of data sources. Developed and implemented ML models for integrating new variables, from mathematical models to the design of dynamic dashboards tailored to specific needs.

Worked as a Lead Data Scientist, building and leading teams of Data Engineers, Data Scientists, Business Analysts and developers. Developed and produced scoring models for analyzing the customer base of a small-account bank and stress test models based on prospective credit risk scenarios.

Facilitated workshops on integrating data strategies into a company's digital transformation. Coached start-ups in implementing insourcing, outsourcing, and Machine Learning to achieve their missions.

Participated as a Data Scientist in the development of an RSS solution with customized AI, via Microstrategy, for strategic intelligence cross-referencing information needs. Used AI to leverage Machine Learning models to generate relevant analysis and reports through Dashboards with SAS STUDIO.

Built scoring and risk assessment models for an investment fund dedicated to financing entrepreneurship. Developed stress-testing models for the possible impacts of realized or potential losses on lending activity specific to online banks.

Developed a data architecture, collection, organization, and structuring of data from multiple internal sources. Developed Machine Learning models for assessing risks, opportunities, and threats to market entry in agribusiness and electronic payment services.

Managed projects for database convergence and data analysis. Conducted econometric modeling and dashboard design, supervising teams of statisticians and data analysts.

Completed a Master 2 in Econometrics and Statistics through distance learning. Focused on advanced statistical methods and econometric modeling.

Obtained a Master's degree in Econometrics and Statistics. Gained expertise in quantitative analysis and statistical inference.