Hello, I’m Stephen Kinuthia
Actuarial Science Student | Applied Data Science & AI Certified | QA/QE Trainee
About Me
I am an Actuarial Science student passionate about building intelligent, reliable, and scalable solutions. I have enhanced my skills through WorldQuant University’s Applied Data Science Lab and Applied AI Lab, where I worked on machine learning, AI, and data-driven projects. Currently, I am training in QA/QE at Teach2Give, gaining practical experience in software testing, quality assurance, and modern development practices. With a blend of data science and software engineering expertise, I aim to grow into a versatile professional capable of creating impactful solutions that bridge technology and real-world challenges.
Education
BSc in Actuarial Science
Dedan Kimathi University of Technology | 2022 – 2025
K.C.S.E Certificate
J.G Kiereini Boys Secondary School | 2018 - 2021
Experiences
QA/QE Trainee
Teach2Give | Sep 2025 – Present
Currently training in Quality Assurance & Engineering, gaining hands-on skills in testing, automation, and quality processes.
AI Lab Intern
WorldQuant University | 2025
Explored advanced AI methods including deep learning and reinforcement learning, building applied AI models for practice labs.
Data Science Lab Intern
WorldQuant University | 2024
Worked on data science projects applying statistical models, machine learning, and Python to solve real-world problems.
Research Assistant
Kenya National Bureau of Statistics | 2024
Assisted in data collection, analysis, and reporting for national surveys, ensuring accuracy and compliance with standards.
Certifications
Skills
HTML
CSS
Python
R Programming
SQL
Projects
Crop Disease Classification in Uganda
Developed a CNN with transfer learning (ResNet) to classify crop disease images into five categories, improving early detection and food security support.
Tech: Python, PyTorch, CNNs, Transfer Learning
View on GitHub
House Price Prediction (MLOps Pipeline)
Created a full MLOps pipeline to predict house prices using structured property data, with workflows for training, deployment, and automation.
Tech: Python, MLflow, Streamlit, Prefect, Random Forest
View on GitHub
Walmart Sales Dashboard
Designed an interactive dashboard to visualize and analyze Walmart sales data, providing insights into trends, seasonal patterns, and product performance.
Tech: Python, Pandas, Dash/Plotly, SQL
View on GitHub
Stock Log Returns Analysis
Modeled stock returns using Random Walk, ARIMA, and ARCH models.
Tech: Python, Pandas, Statsmodels
View on GitHub
Wildlife Conservation (Côte d’Ivoire)
Built deep learning models in PyTorch to classify animals from camera trap images for a competition, supporting wildlife monitoring and conservation efforts.
Tech: PyTorch, CNNs, Image Preprocessing, Multiclass Classification
View on GitHub
Traffic Monitoring System
Built a real-time traffic monitoring system using YOLO for object detection and OpenCV for video processing, enabling congestion analysis and incident detection.
Tech: Python, YOLO, OpenCV, Computer Vision
View on GitHub