Johan Cornelis Adi Saputra
machine learning engineer and data scient
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Built an end-to-end used car price prediction system using regression on a dataset of 50,000 used car listings (manufacturer, model, engine size, fuel type, year, mileage, and price).
I compared three models, linear regression, random forest, and XGBoost, and selected XGBoost as...
Built an end-to-end ML weather forecasting system for Semarang, Indonesia, combining two models: a Random Forest Regressor for temperature, humidity, precipitation, and wind speed, and an XGBoost Classifier for weather category (Clear/Cloudy/Light Rain/Heavy Rain).
Trained on...
uilt an end-to-end customer churn prediction system using a 20,000-row telecom-style dataset (tenure, monthly charges, contract type, payment method, internet service, support calls, etc.).
The workflow covered data cleaning, exploratory data analysis, stratified train-test...
