MY PROJECTS

A machine learning project to classify heart disease presence using clinical datasets. This project is a binary classification problem.

Machine learning project for predicting customer segments using classification models with scaling, encoding, and hyperparameter tuning.

Machine learning project predicting nutritional status (underweight, overweight, obese, normal) using demographic and lifestyle data. Compared Random Forest vs Neural Network models.

Predicting cirrhosis stages using Random Forest and XGBoost with scaling, encoding, and hyperparameter optimization.

Unsupervised learning project for classifying customer purchase frequency using clustering (K-Means) and PCA visualization.

A content-based recommender system for games using TF-IDF and cosine similarity to suggest similar titles.

A time series forecasting project that analyzes avocado price trends and predicts future prices using statistical methods and deep learning models.

GAN model to synthesize pistachio images for classification augmentation.

A convolutional autoencoder model trained to remove noise from images. Synthetic noisy images were generated to simulate real-world denoising challenges.

Ship detection using YOLO models (v4, v8, v11). Compared their performance in accuracy, speed, and robustness for object detection tasks.

A deep learning project using transfer learning with EfficientNet, DenseNet, and MobileNet to classify brain tumors from medical images.

A deep learning regression project predicting energy usage from solar panels. Includes EDA, statistical preprocessing, and neural network training with hyperparameter tuning.

Predicting red wine quality using deep learning with both Keras Sequential and Functional models, compared with hyperparameter tuning for performance optimization.

Multivariate time series forecasting of air quality using LSTM and BiLSTM models with statistical decomposition and scaling.

Visual exploration of obesity and lifestyle datasets using R and ggplot2, highlighting distributions, correlations, and lifestyle comparisons.

Tableau dashboard analyzing hourly movements of Final Price, Demand Rate, and Stock to uncover correlations and pricing dynamics.

Visualization project analyzing Indonesia’s education quality in 2022. Covers teacher and library distribution, participation rates, and links between education and poverty.

Tableau dashboard exploring the distribution of European cities by country, average latitude, and number of cities.

A responsive website for Sinéfolis Cinemas with 5 pages: Landing, Promo, Now Showing, Cinema, and Feedback. Includes Figma prototype, HTML/CSS/JS implementation, and live demo.

A responsive Shopee inspired e-commerce website built with HTML, CSS, and JavaScript. Features home, product, cart, checkout, and user pages.

A deployed ML pipeline using Streamlit to predict hotel booking cancellations. Includes probability outputs and SHAP feature contributions for explainability.

A deployed machine learning pipeline for predicting obesity categories based on lifestyle and health data, built with Flask and scikit learn.

Database project for Trasporindo Export Documents. Includes normalization (UNF → 3NF), ERD design, and SQL table creation for export documentation management.

A networking design and simulation project using Cisco Packet Tracer, covering topology setup, IP addressing, routing, and connectivity testing.

An R based data visualization and analysis project using the Iris dataset. Covers data cleaning, histograms, scatterplots, regression, and hypothesis testing.

Led 5 events at PAUD Bintang Kecil, teaching and creating joyful activities for children while coordinating volunteers and ensuring impactful outcomes.

Served as moderator in multiple DSC events, including Cascade, LDKA, and the Welcoming Party — facilitating sessions, engaging participants, and keeping events on track.

Led 10 activists as PIC for DSC events including DSC Kind (charity), DSC WDB (iftar & movie night), and Smash & Dash (badminton tournament).

Served as secretary for the LDKCP Data Science Club event, handling documentation, administrative tasks, and coordination among committees and participants.