Olayele Awujoola

ML Engineer with 4+ years of experience building, evaluating, and deploying machine learning models across classification, time-series, computer vision, and IoT analytics domains. Proven ability to deliver end-to-end ML pipelines — from data ingestion and feature engineering through model training, evaluation, and production deployment via REST APIs and Flask. Notable outputs include a Random Forest + XGBoost attrition classifier achieving AUC 0.85, a live IoT anomaly detection system serving Lagos State Water Corporation, and a facial recognition Flask web service replacing a manual institutional process.

Proficient in Python, Scikit-learn, TensorFlow, PyTorch, XGBoost, and OpenCV. Published researcher with active bioinformatics work. GitHub-first approach to all project delivery. Open to remote, hybrid, or international opportunities.

Data Analyst (ML-Applied) at E-Know Consult (2024-03 – Present)

Applied statistical modelling and machine learning techniques to financial and market research data across 5 sectors, delivering risk intelligence that directly informed portfolio allocation decisions.

• Applied statistical modelling and machine learning techniques to financial and market research data across 5 sectors, delivering risk intelligence that directly informed portfolio allocation decisions.
• Built and automated Python (Pandas, NumPy) ETL pipelines processing 10,000+ records daily, forming the clean, structured data foundation for downstream analytical and predictive models.
• Designed data architecture and reporting pipelines that improved data accuracy by 35%, ensuring model-ready datasets for business intelligence and analytical workflows.
• Partnered with cross-functional teams to translate model outputs and analytical findings into executive-level narratives and prioritised business roadmaps.

Data Science Instructor at SQI College of ICT (2023-02 – 2024-02)

Designed and delivered end-to-end data science and ML curriculum covering Python, Scikit-learn, TensorFlow, statistical modelling, and BI tools to 50+ students.

• Designed and delivered end-to-end data science and ML curriculum covering Python, Scikit-learn, TensorFlow, statistical modelling, and BI tools to 50+ students, achieving a 90%+ project completion rate.
• Supervised capstone ML projects including HR attrition classifiers, financial forecasting models, and e-commerce analytics — all benchmarked against real-world datasets and evaluated with standard ML metrics.
• Introduced hands-on Jupyter Notebook and Scikit-learn labs bridging academic instruction with production-level ML tooling, directly improving post-course employment outcomes.

Lecturer, Computer Science & Data Analysis at Abubakar Tatari Ali Polytechnic (2020-11 – 2022-12)

Delivered undergraduate instruction in programming, computer science fundamentals, and scientific data analysis for cohorts of 100+ students.

• Delivered undergraduate instruction in programming, computer science fundamentals, and scientific data analysis for cohorts of 100+ students.
• Mentored student research projects in data analysis and scientific methodology, with select outputs submitted to institutional journals.

B.Sc. in Computer Science – Federal University, Oye-Ekiti (2026-11)

HND in Biochemistry – Rufus Giwa Polytechnic, Owo (2018)