Projects I’ve Conceived

Selected Projects in Web Dev, Data, & Machine Learning - AI —

Global Certification - TensorFlow Developer Certified

I’m a certified TensorFlow Developer. Specialized in machine learning, my work spans various tech experiences. I achieved TFD Certification, demonstrating my expertise and commitment to innovation. Open for collaboration and tech discussions, I aim to employ technology for real-world solutions.

Certificate

View the Credential on TensorFlow via Accredible

Implement Data Analysis with Interactive Dashboard on Air Quality Dataset

To gain insights from Air Quality Dataset (Dicoding’s Project), I utilized the data analysis cycle to identify air quality based on the indicator di setiap stasiun selama 2013-2017. In the process, I employed the Python and Streamlit using Jupyter Notebook and PyCharm environment to create a robust data analytics.

Code and Result

View code on GitHub repository

Implement Data Analysis Cycle and Prediction Models on Employee Dataset

To gain insights from HR Department Dataset, I utilized the data analysis cycle and prediction model approach to identify employe’s performance based on their age and length of work hours during their employment. In process, I employed the Python and Regression models using Jupyter Notebook environment to create a robust performance prediction model.

Code and Result

View code on GitHub repository

Machine Learning Model for CoffeeBid Mobile Apps

Built a coffee bean quality detection model for an online coffee auction application called CoffeeBid. In this project, I applied TensorFlow to develop the machine learning model. In addition, I utilized Python, Pandas, NumPy, Matplotlib, Scikit-Learn, Keras, TensorFlow, Convolutional Neural Network, Jupyter Notebook, MobileNet-V2 Pretrained Model, and GitHub for teamwork environment.

View code on Google Colaboratory

Tourist Visit Prediction Website with the Application of Data Mining - Decision Tree C4.5 Algorithm

I developed a predictive web platform for my undergraduate thesis (Skripsi), focusing on managing tourist visitation data for Pati Regency. The platform features a dynamic data mining tool for predicting tourist trends. The tech stack involved PHP with the CodeIgniter 3 framework, SQL databases, Python for algorithmic processing, and Bootstrap 4 for UI development.

View Demo on My Youtube Channel