I love exploring data and finding stories behind the numbers. From analytics to machine learning, I enjoy building projects, learning new things, and seeing how data can make an impact in the real world.
Here are the skills and tools I use to solve problems, build things, and make sense of information. I'm always eager to keep learning and exploring new ones.
Languages & Frameworks
Python
SQL
Java
TensorFlow
Streamlit
Scikit-Learn
Pandas
Data Analysis & Business Intelligence
Power BI
Looker
Spreadsheets
Data Science
CNN
Forecasting
NLP
Productivity Tools
Notion
Google Workspace
GitHub
Soft Skills
Collaboration
Critical Thinking
Curiosity & Willingness to Learn
Problem Solving
Attention to Details
I Learn by Doing
These projects help me grow as a data scientist and analyst. Each one shows not just the results, but also the learning process, asking the right questions, and choosing the right tools.
Machine Learning
DaurYuk: Sorting Waste for Sustainable Future
Bangkit Academy 2024 Batch 1 - Capstone Project
A waste classifier aimed to address the poor waste management. Built using machine learning, specifically CNN MobileNetV2 architecture, resulting in about a 92% accuracy rate.