Joey Victor

A sixth-semester Computer and Data Science undergraduate with hands-on experience in backend development (Flask, MySQL), machine learning pipelines, and IoT-based systems. Experienced in building application workflows, data-driven models, and real-time solutions through cross-functional academic and personal projects. Strong in problem-solving and data processing, with a keen interest in platform management and business-oriented technology.

Backend Developer (Team Project) - Car Rental Web Application - Calvin Institute of Technology - Central Jakarta, Indonesia

Developed robust backend functionalities for a full-stack car rental management platform utilizing Flask, Python, and MySQL.

• Designed and structured an optimized relational database schema to manage user credentials, fleet availability, transactions, and warehouse logistics.
• Secured user access by building comprehensive authentication and authorization modules, incorporating password hashing and secure session management for multi-role platforms (User & Admin).
• Engineered dynamic booking workflows equipped with automated date validation, real-time vehicle availability checks, and multi-tier approval logic.
• Optimized and debugged core system workflows, effectively minimizing runtime exceptions and enhancing application processing reliability.

Machine Learning Developer - Heart Disease Prediction using Machine Learning & Ensemble Methods - Personal - Central Jakarta, Indonesia

• Constructed an end-to-end data preprocessing pipeline, resolving data quality issues through duplicate removal, median imputation for cholesterol anomalies, and One-Hot Encoding for categorical features.
• Executed feature engineering by applying StandardScaler for normalization and PCA for dimensionality reduction, successfully visualizing high-dimensional data distributions.
• Trained and benchmarked Logistic Regression, KNN, and a heterogeneous voting ensemble (XGBoost + AdaBoost + KNN) optimized via GridSearchCV and RandomizedSearchCV.
• Validated model robustness using Stratified 5-Fold Cross-Validation, ensuring stable performance metrics and successfully mitigating minority class imbalance issues.

IoT & Systems Developer (Team Project) - IoT-Based Smart Attendance System - Calvin Institute of Technology - Central Jakarta, Indonesia

• Architected a secure, multi-factor smart attendance system integrating dual-layered QR Code and Biometric Face Recognition to eliminate spoofing risks.
• Deployed real-time machine-to-machine communication protocols using MQTT, ESP8266, and Node-RED to automate attendance logging.
• Programmed a localized facial verification pipeline using Python, OpenCV, HOG, and DLIB for accurate feature extraction.
• Integrated Firebase as a centralized cloud database for instant attendance storage, dynamic record retrieval, and live dashboard monitoring.

Bachelor of Computer and Data Science - Artificial Intelligence and Software Development - Calvin Institute of Technology (2023-08)