Freycinet Gédéon

Freycinet Gédéon

It Solution Developer @ World Food Programme

About Freycinet Gédéon

Freycinet Gédéon is an IT Solution Developer currently employed at the World Food Programme in Pétion-Ville, Haiti. He has experience in data analysis and machine learning, having previously worked at Ayiti Analytics and participated in initiatives to enhance digital infrastructure in rural areas.

Work at World Food Programme

Freycinet Gédéon currently serves as an IT Solution Developer at the World Food Programme, a position he has held since 2023. In this role, he focuses on developing IT solutions that enhance data-driven decision-making processes. His contributions include integrating machine learning models to optimize resource allocation, which supports the organization's mission to combat hunger and improve food security. Additionally, he has participated in initiatives aimed at improving digital infrastructure in rural areas, furthering the impact of the World Food Programme's efforts in Haiti.

Previous Experience at Ayiti Analytics

Prior to his current role, Freycinet Gédéon worked as a Data Analyst at Ayiti Analytics for three months in 2022. During his time there, he contributed to data analysis projects that informed decision-making processes. This experience provided him with a foundation in data analytics, which he later applied in his work at the World Food Programme.

Education and Expertise

Freycinet Gédéon earned a Bachelor's degree in Rural Engineering from Université d'Etat d'Haïti, completing his studies from 2018 to 2023. He furthered his education by pursuing a MicroMaster Program in Statistics and Data Science through MIT Professional Education edX, which he completed in 2024. This combination of education equips him with the necessary skills to develop IT solutions and analyze data effectively.

Internship Experience at Aspire Leaders Program

In 2023, Freycinet Gédéon participated in the Aspire Leaders Program as an Internship Trainee for five months. This internship provided him with practical experience and exposure to leadership development, complementing his technical skills in IT and data science.

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