Empowering Decisions with Data & AI

Morning! I'm Zaki Luqmansyah, a passionate Data Scientist specializing in turning complex datasets into actionable predictive systems. I build models that do not just live in notebooks, but scale to real-world applications.

Python Primary Tech
FastAPI Deployment
SQL Analytics

My Tech Stack

Python Scikit-learn XGBoost Pandas FastAPI Matplotlib SQL Git HTML/CSS/JS

Featured Projects

📈 Active Model

Student Score Predictor

An end-to-end ML application that predicts academic performance based on study habits and demographic data, helping educators intervene early.

Python Scikit-learn
📊 Visualization

Data Viz Dashboard

A interactive analytical dashboard built to digest operational telemetry data, generating key metrics charts dynamically with clean UI components.

Python Matplotlib
💻 Frontend

Interactive Portfolio

This exact website! A responsive web app showcasing portfolio metadata alongside a live ML dashboard and inference playground.

HTML CSS JavaScript

Model Performance

Customer Churn Prediction Model - XGBoost Classifier

94.2%
Model Accuracy
0.92
F1-Score
0.96
ROC AUC Score

Training vs Validation Loss History

Live Inference Playground

Run predictions using the hosted XGBoost model on the backend server

Model Inputs

Enter numerical customer features below to predict their likelihood score.

e.g., number of months customer has stayed
e.g., monthly bill amount in USD

Inference Result

🤖

Adjust inputs and click "Run Prediction" to request predictions from the server.