林宣廷 Jeremy

Graduate student in NYCU

Major: Statistics

  New Taipei City, Taiwan


Hello, I'm Jeremy. I'm taking my master program majoring in statistics in NYCU and I'll graduate in 2023.

I specialize in data analysis and data science. I also have experience in machine learning and deep learning application.

I'm an energetic, genuine, optimistic and friendly person. I'm always ready for a new challenge because I believe all the important work is challenging. I enjoy working in a team and also being flexible switching to any kind of role in a team. 

The reason why I want to take an internship is because I'm eager to know how the companies deal with problems and what kinds of problems we're now facing in our real life. And I wish one day I could take part in solving these problems and make some changes to the world!

The courses I've taken include Deep learning, Statistical learning, Regression analysis, Multivariate analysis, Discrete data analysis and Time series analysis.

I'm conducting research in the mathematics behind neural networks comparing to traditional statistical analysis for various features exaction for my master thesis.

The programming languages I'm familiar with are Python and R.

I'm confident in my English speaking and writing skills.

Education

2021 - 2023

National Yang Ming Chiao Tung University (NYCU)

Statistics, MS

2017 - 2021

National Tsing Hua University (NTHU)

Mathematics, BS

Portfolios

Machine learning

Senior year in NTHU

Deposit Subscription Prediction using R, Link

In this project, we use several statistical based machine learning methods to predict whether the customers will subscribe the deposit or not. What I did in this project was apply LDA, QDA, KNN and Naive Bayes, four statistical based machine learning methods to make predictions using R.

Spatial data analysis

Senior year in NTHU

NBA players' shooting hot zone analysis using R, Link

In this project, I applied a spatial statistical prediction method, called Kriging, to analyse the NBA players' shooting hot zone using R.

Deep learning

First year in NYCU

Deep learning application-Self-driving car simulation using Tensorflow

In this project, we constructed a deep learning model for image recognition (ResNet,  Inception-V3 and a deep learning model constructed by our own) using Tensorflow in Python.

The goal is to follow the given track and drive as fast as possible. There were so many problems we faced during the project, like the given data was lack of turning left image, so we did lots of data pre-processing like image augmentation. Finally, we fit ResNet, Inception-V3 and a deep learning model constructed by our own to do the simulation.

Big Data Analytics

First year in NYCU

Deep learning application-Food Classification using Tensorflow and Anvil web APP, Link

In this project, we used deep learning techniques to build a model and the product of ANVIL to build the interactive user interface. 

My responsibility in this project is to build the deep model behind the APP. I implemented the transfer learning techniques using EfficientNetV2S as the based model and proposed a model named as Domain-Selection-Model to select the model to make predictions between two models trained on two different data sets.

Expertise


  • Data analysis
  • Data science
  • Machine learning
  • Deep learning

Programming language


  • R
  • Python
  • Tensorflow
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