I’m a a polymath in statistics, AI development and explainable AI. Through programming languages such as Python and R, I can easily implement complex statistical analysis and AI models, such as using various packages such as sklearn and Pytorch to conduct in-depth research on automated machine learning and explainable artificial intelligence.
I am Wang Jian-an and currently studying at the Data Science Institute of National Cheng Kung University. I am a versatile student with rich experience in statistics, AI model development and deployment. I am proficient in using programming languages such as Python, R to implement statistical analysis and AI model development (including using packages such as sklearn, Pytorch for automated machine learning and in-depth research on explainable artificial intelligence) as well as deployment and other requirements.
My experiences include internships at a startup, collaborating with three groups of physicians from National Cheng Kung University Hospital for research, and participating in industry-academia cooperation projects with a technology company. I always adhere to principles and reasonably allocate time and resources to ensure that every project receives sufficient attention and is completed.
On this blog, I will share my knowledge and experience related to data science and artificial intelligence, including statistical analysis, AI model development, deployment, and best practices. If you are looking for an experienced expert who can help you deal with various data challenges, I am happy to provide assistance!
Here are a few technologies I've been working with recently:I’m responsible for the following duties:
I have some contribution to the company:
There are some lecture I’d tought and shared.
Master Thesis
