I learn about data and AI by teaching, writing and making videos on YouTube. Jump to my CV, publications, courses, media kit or featured recognitions.
CV
Director of AI and Innovation
Ministry of Digital Transformation and Innovation, Benin
In charge of the national artificial intelligence strategy.

Head of Data & AI
Benin National Digital Agency (ASIN)
Led the national AI strategy, Open Data platform, and development of GPT-BJ — the first generative AI chatbot for government services.
- Deployed an internal app that lets co-workers ask questions about their projects, deadlines, deliverables and anything company-related.
- Managed the Data & AI team and coordinated with other departments on AI initiatives.
- Worked on the GPT-BJ project, improving citizen access to e-services.

Data & AI Consultant
DataKev
Freelanced for 18 months, advising companies and institutions on AI adoption, education, and product prototyping.
- Created a certified Deep Learning course on Udemy (1,000+ students).
- Built the first GPT-BJ prototype for public-service Q&A.
- Delivered analytics for retail clients and taught AI at University.

Data Scientist
MTN Benin
Developed predictive models and automated analytics to improve customer experience and retention for an 8M+ subscriber base.
- Integrated network and customer data to predict Net Promoter Score.
- Deployed churn prediction model reducing customer loss.
- Introduced AI chatbots for contact-center automation.

Data Science & AI Mentor
OpenClassrooms
Guided international learners and professionals through data science projects and career transitions.
- Mentored 30+ students across Europe and Africa.
- Supported end-to-end ML project delivery and evaluation.

Machine Learning Engineer
Konta AI
Joined as employee number 3 and built production-grade ML models for Invoice Data capture.
- Automated processing of 40 000+ scanned invoices for an Insurance client.
- Containerized and deployed OCR and extraction models with Docker.
- Enabled company’s first fundraising by scaling AI pipeline efficiency.
Publications
The UCD System for the 2018 FEMH Voice Data Challenge
K. Degila, et al.
IEEE Big Data Conference 2018
Masakhane — Machine Translation for Africa
Masakhane Research Collective (incl. K. Degila)
ICLR AfricaNLP Workshop 2020, arXiv:2003.11529
Participatory Research for Low-Resourced Machine Translation: A Case Study in African Languages
Masakhane Research Collective (incl. K. Degila)
Findings of EMNLP 2020 (ACL Anthology)
AI4D — African Language Program: Advancing African NLP Resources
AI4D Language Program (incl. K. Degila)
AfricaNLP Workshop 2021, arXiv:2104.02516
Courses
All my video courses are in French.
Deep Learning de zéro à la certification TensorFlow
Udemy
The full path to master Deep Learning and prepare for the TensorFlow Developer certification.
Data Analyst avec Python
YouTube
A free playlist covering the fundamentals of data analysis with Python, Pandas and visualisation.
Media Kit


Short Bio
Kévin Degila is an Artificial Intelligence and digital transformation expert. He currently serves as Director of AI and Innovation at Benin’s Ministry of Digital Transformation and Innovation, in charge of the national artificial intelligence strategy.
Long Bio
Kévin Degila is an expert in Artificial Intelligence, Data Science, and Digital Transformation with over six years of experience across both public and private sectors. He currently serves as Director of AI and Innovation at Benin’s Ministry of Digital Transformation and Innovation, in charge of the national artificial intelligence strategy, after two years as Head of Data & AI at the Benin National Digital Agency (ASIN), where he led initiatives in Open Data, public conversational assistants, data anonymization, and AI-driven innovation. He is also a trainer and content creator in AI and cloud computing, building a strong learning community through YouTube and Udemy. Committed to ethical and inclusive AI, Kévin advocates for the development of African tech talent and the local adoption of future-shaping technologies.
Featured
Forbes 30 Under 30 Africa
Recognized in the 2024 cohort for contributions to data and AI-driven public services.