🎓 Bachelor of Science in Actuarial Science
🏫 Dedan Kimathi University of Technology (2022 – 2026)
💡 Passionate about:
- Data Science & Machine Learning
- Artificial Intelligence
- Predictive Analytics
- Actuarial Modelling
- Risk Analytics
- Software Development
🌱 Currently learning:
- Advanced Machine Learning
- Deep Learning
- MLOps
- AI Agents & Multi-Agent Systems
- Cloud Deployment
🎯 Career Goal:
To leverage data, AI, and actuarial techniques to solve real-world business and risk problems.
- Applied Data Science Lab – WorldQuant University
- AI for Beginners – HP LIFE
- Quality Assurance/Quality Engineering – Teach2Give
- Data Science & Artificial Intelligence – Ngao Labs
- DataCamp Accomplishments:
- Understanding Artificial Intelligence
- Introduction to Data Literacy
- Introduction to SQL Server
- Machine learning prediction and recommendation system.
- Fairness evaluation and web deployment.
- End-to-end production-style AI application.
🔗 Repository: https://github.com/stephenkinuthia-cell/Youth-Employability
- Weibull regression and parametric survival models.
- Kaplan-Meier estimation and predictive modelling.
- Comparative analysis of multiple survival distributions.
- Deep learning project using Convolutional Neural Networks.
- Animal classification using PyTorch.
- Image preprocessing and model evaluation.
- Software quality engineering project.
- Issue tracking and workflow management.
- Testing and quality assurance implementation.
interests = [
"Actuarial Science",
"Machine Learning",
"Artificial Intelligence",
"Risk Analytics",
"Deep Learning",
"Data Engineering",
"MLOps",
"Software Engineering"
]