OLANREWAJU VICTOR BAYODE
Machine Learning Engineer | Predictive Modeling | AI Solutions-| GitHub: github.com/Sirvikkaz
Summary
ML engineer with a strong foundation in data analysis and algorithm design. Experienced in
building ML pipelines from raw data to trained models. Skilled in classification, regression,
CNNs, and performance optimization. Passionate about using AI to solve real-world
challenges.
Experience
ML-Focused Data Analysis — Cognifyz Technologies
Analyzed restaurant data to uncover behavioral and geographic patterns, model rating
behaviors, and inform strategic decisions.
- Performed multi-layered feature engineering
- Explored delivery vs. rating dynamics
- Visualized location clusters to identify high-value targets
Projects
Pima Diabetes Classifier – Compared Logistic Regression, XGBoost & Random Forest
Ames Housing Model – Regression, NN, w/ hyperparameter tuning
Braille-to-Text CV Tool (Ongoing) – Using CNN + OpenCV for accessibility solutions
Education
B.Eng. Mechatronics Engineering – FUOYE (87.8%)
Skills
ML Frameworks: Scikit-learn, TensorFlow, XGBoost, Keras
Tech: Python, FastAPI, OpenCV, Git, CNNs
Focus: Model Evaluation, Feature Engineering, Classification, CV
Certifications
Supervised Learning Algorithms: Regression and Classification - Stanford University
Advanced Learning Algorithms - Stanford University
Unsupervised Learning, Recommenders, Reinforcement Learning - Stanford University