John Olalemi
Data Scientist • Machine Learning Engineer • AI Engineer
I build end-to-end, business-driven data products — from analytics, forecasting, and dashboards to production-ready machine learning systems and deployed APIs. My work combines statistics, experimentation, and ML engineering to solve real business problems.
About Me
I specialize in building end-to-end, business-driven data systems — from exploratory analysis, reporting, and dashboards to production-ready machine learning models and deployed APIs.
My background in Statistics and Computer Engineering helps me combine strong analytical thinking with practical engineering execution. I’m particularly interested in Product Data Science, Decision Science, Fraud Detection, ML deployment, and applied AI systems.
Strengths
Business framing • Time-aware validation • Clean pipelines • Model deployment
Core Tools
Python • SQL • FastAPI • Docker • Scikit-learn • XGBoost • Power BI
Focus Areas
Fraud detection • Forecasting • ML systems • Product analytics • Applied AI
Resumes
Choose the version that best matches the role you’re hiring for.
Machine Learning Engineer Resume
XGBoost • FastAPI • Docker • CI/CD • ML Pipelines • Production Systems
Open PDF →Data Scientist Resume
Statistics • Modeling • Experiments • Forecasting
Open PDF →ML / AI Engineer Resume
ML Pipelines • Feature Engineering • Model Serving • Applied AI
Open PDF →Data Analyst Resume
SQL • Excel • Power BI • KPI Reporting • Data Validation
Open PDF →Featured Projects
A curated mix of BI, ML pipelines, and applied AI systems.
🛡️ Fraud Detection System (ML + Live API)
Flagship • 2026Built a production-style fraud detection system using XGBoost, time-based validation, rolling validation, threshold tuning, and a live FastAPI deployment on Render.
Live API Docs →
📊 Retail Sales Business Intelligence Dashboard
BI • 2025Built a multi-page Power BI dashboard analyzing sales, profit, customer behavior, and operational performance to support executive decision-making.
🎬 Movie Licensing Revenue Prediction
ML • 2025Built an end-to-end machine learning pipeline for licensing revenue classification, including feature engineering, cross-validation, model comparison, and business-oriented evaluation.
📉 Customer Churn Analysis
Analytics • 2024Developed churn analytics and predictive models to identify retention risks and translate model insights into actionable business recommendations.
🚗 Analyzing Car Reviews with LLMs
LLMs • 2025AI assistant for sentiment analysis, translation, summarization, and QA using Hugging Face Transformers and Streamlit.
🫀 End-to-End Heart Disease Prediction
ML System • 2025Built and deployed a complete machine learning workflow covering preprocessing, training, evaluation, and interactive prediction delivery.
🧾 Medical Transcription → ICD-10 Structuring
AI Eng • 2025Automated structured extraction from medical transcripts using OpenAI API with Docker, Streamlit, and testing.