02 : Portfolio
001/009
Brofin-Bangkit Academy
Developed Brofin as a Capstone Project at Bangkit Academy 2024 H2, a financial planning app utilizing Machine Learning to optimize budgeting, predict home prices with TensorFlow and LSTM, and provide personalized product recommendations.
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002/009
Credit Risk Prediction Model
Developed an end-to-end credit risk prediction model for a lending company. By analyzing loan application data and implementing Logistic Regression and Decision Tree algorithms, the model accurately assessed credit risk and provided actionable insights to support informed loan approval decisions.
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003/009
Analisis Bike Sharing Data
I conducted a bike-sharing data analysis for the Dicoding "Belajar Analisis Data dengan Python" course submission. The analysis explored rental percentages between user types, the impact of weekdays, and seasonal trends. The results were visualized and deployed using Streamlit.
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004/009
Pintarku Asisten Mahasiswa
Pintarku University Student Assistant is a web application I developed to help university students, especially those in Information Technology (IT), manage their academic activities. It uses an SQL-based database and offers features like a study assistant, task management, chat with lecturers, and more.
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005/009
Web Bimbingan Skripsi
Web Bimbingan Skripsi is designed to facilitate the thesis guidance process between lecturers and students, integrated with an SQL-based database. This platform provides features for managing guidance schedules, submitting and organizing thesis revisions or documents, and giving feedback.
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006/009
Sentiment Analysis on MyPertamina App Reviews
The MyPertamina app receives thousands of user reviews, but understanding public sentiment at scale remains a challenge. This project addresses that problem by developing a machine learning-based sentiment analysis system.
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007/009
Spendee Coding Camp by DBS Foundation
To address the challenges investors and financial institutions face with inefficient and risky evaluation of startups and loan applicants in Indonesia.
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008/009
Stroke Risk Prediction
This project tackles the significant burden of stroke in Indonesia and the limitations of early detection by developing a machine learning model to predict individual stroke risk from symptom and medical indicator data.
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009/009
Food Image Classification
This project demonstrates the implementation of a deep learning model for food image classification using transfer learning with EfficientNetV2L.
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