Florent VAGBA, Master

Florent VAGBA is a data scientist with technical and analytical skills proven through business and personal projects that have helped resolve challenges of varying complexity, create meaningful information, and facilitate decision-making. At Zukulee, contributed to a project leveraging Machine Learning algorithms to analyze blockchain data, focusing on sentiment analysis and pattern identification. Played a key role in mitigating investment risks by providing data-driven insights. Utilized Jupyter Notebook within Visual Studio Code to clean and explore multiple datasets, employing libraries such as pandas, numpy, matplotlib, sklearn, and scipy. Developed both supervised and unsupervised machine learning models to extract actionable intelligence from complex datasets. Additionally, excelled in our SQL final project, achieving the highest grade, which involved data cleaning, table creation, and the extraction of valuable insights to meet project objectives. He has extensive experience in telecommunications, multidisciplinary team management and project management. He contributed to the creation and operation of mobile telephone networks. He has extensive experience in customer management and is an expert in technical support and customer service. Using the Powe BI tool, he designed a dashboard to monitor the key performance indicators on the Kyndryl contract. This allows for fluidity in decision-making. . Florent VAGBA is bilingual (English, French) and has a Master of Engineering: Engineering Project Management, a data science diploma, and Data process engineer degree.