I am a graduated data scientist with a strong background in computer science with 3 years experience in data analysis, including exploratory data analysis, machine learning, , visualization, computer vision, and statistics. Currently, I am working as a Research Assistant 🧑🔬 at University of Adelaide 🏛️ in computer vision and machine learning. As my passionate in technological topics in Data Science, Artificial Intelligence & Machine Learning, and Visualization, I enjoy sharing my previous projects, and show a personal blog related to my extracurriculum activities. Let’s connect if you’re interested in discussing AI, machine learning, or how data can transform decision-making!
- 👯 I’m looking to work on Data Scientist and Business intelligence Analyst.
- 🌱 I’m currently learning Computer Vision and large language models (LLMs)
- 💬 Ask me about previous projects and hobbies.
- 📫 How to reach me: Linkedin and Gmail([email protected]).
- 🌱 What I am doing in my Leisure Time: Exploring the new hiking tracks and new technologies.
- ✨ Loving: Coffee and Running.
| Projects | Categories | Description | Tags |
|---|---|---|---|
| eCommerce Churn Prediction | Machine Learning | The task focuses on predicting churn behaviour to improve business decision and campaign optization. | R programming, ggplot |
| S&P500 Stock Prediction | Deep Learning | The task is to predict stock value using recurrent neural networks (RNNs) to reveal dynamic characteristics of financial time series. | Python, Pytorch |
| Enhanced Image Classification across diverse datasets | Computer Vision | The task is to implement deep learning algorithms to highlight residual learning performance. | Python, Pytorch |
| Diabetes Prediction | Deep Learning | The task is to predict diabetes using perceptron algorithms on Pima Indians Diabetes Database. | Python, Pytorch |