About Me
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Quick Facts
Education
Information Systems, University Esa Unggul
Specialization
Web Development & Machine Learning
Interests
AI, Deep Learning, Responsive Web Design
My Journey
Hello! I'm Alvin Astradinata, currently pursuing Information Systems at University Esa Unggul.
I'm deeply passionate about Machine Learning and Deep Learning, constantly exploring new frontiers in AI technology. My journey in tech began with web development, which gave me a strong foundation in creating responsive and user-friendly applications.
What drives me is the intersection of AI and practical applications. I believe in building technology that not only demonstrates technical excellence but also solves real-world problems and enhances user experiences.
Technical Skills
Skill Proficiency
Skills & Technologies
Explore my technical skills across different domains
Python
Proficient in data analysis, machine learning, and backend development.
JavaScript
My experience with JavaScript includes various projects and applications.
TypeScript
My experience with TypeScript includes various projects and applications.
TensorFlow
My experience with TensorFlow includes various projects and applications.
Pytorch
My experience with Pytorch includes various projects and applications.
Flask
My experience with Flask includes various projects and applications.
FastAPI
My experience with FastAPI includes various projects and applications.
Django
My experience with Django includes various projects and applications.
ReactJs
My experience with ReactJs includes various projects and applications.
Next.js
My experience with Next.js includes various projects and applications.
Git & GitHub
My experience with Git & GitHub includes various projects and applications.
Skills Overview
Languages
Frameworks
ML & Data
Tools
My Projects
Here are some of my recent projects that showcase my skills and interests. Each project represents a unique challenge and learning opportunity.
TikTok Review Sentiment Analysis
This project performs sentiment analysis on Tiktok reviews collected from the Google Play Store. It uses natural language processing techniques to classify reviews as positive, negative, or neutral, and visualizes the results with interactive charts.