Crop Prediction Dashboard
Recommends optimal crops from soil nitrogen, phosphorus, potassium, rainfall, and pH readings using a trained XGBoost classifier.
Computer Science student at Binus University, Semarang.
murfidya@gmail.com
Data pipelines, machine learning models, and web tools built to ship.
Production dashboards, interactive tools, and applied machine learning projects.
Recommends optimal crops from soil nitrogen, phosphorus, potassium, rainfall, and pH readings using a trained XGBoost classifier.
Controls the desktop cursor through a webcam at 60 FPS using One Euro filter smoothing and a live telemetry dashboard.
Coordinates student coursework deadlines, class schedules, and shared group tasks in a single web workspace.
Plays full-rules chess in the browser against a configurable search-depth AI opponent with 2D canvas rendering and procedural Web Audio synthesis.
I study Computer Science at Binus University in Semarang and build data pipelines, automation workflows, and web dashboards. Since 2023, I have written Python ETL pipelines, SQL schemas, and machine learning interfaces that turn messy feeds into clear decisions. My current focus is computer vision on edge hardware, MLOps deployment with Docker and Kubernetes, and reliable analytics engineering.
Available for data engineering, workflow automation, and applied machine learning projects.