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Jay Lin
Data / Back-end Development
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Jay Lin

Data / Back-end Development
Data / Back-end Development
MyDearTeacher
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University of Colorado Boulder
台灣新北市

Trình độ chuyên môn

  • Tình trạng hiện tại
    Đã có việc làm
  • Nghề nghiệp
    Data Analyst
    Web Developer
  • Lĩnh vực
    Trí tuệ nhân tạo/ Máy học
    Công nghệ giáo dục (EdTech)
  • Kinh nghiệm làm việc
    6-10 năm (6-10 năm liên quan)
  • Kinh nghiệm quản lý
    I've had experience in managing 1-5 nhân viên
  • Kỹ năng
    Python
    Machine Learning
    Deep Learning
    PyTorch
    TensorFlow
  • Ngôn ngữ
    English
    Chuyên nghiệp
    Japanese
    Sơ cấp
  • Trình độ học vấn cao nhất
    Master

Ưu tiên tìm kiếm việc làm

  • Hình thức làm việc mong muốn
    Full-time
    Quan tâm đến làm việc từ xa
  • Vị trí làm việc mong muốn
    Data, backend or project management
  • Địa điểm làm việc mong muốn
  • Freelance
    Freelancer bán thời gian

Kinh nghiệm làm việc

Founder

MyDearTeacher
Full-time
08/2014 - 07/2022
8 yrs 0 mos
Startup: - Initiated the project from the ground up, leading to the development of a profitable system that serves 300+ active users per month. User research & Data analysis: -Conducted over 1000 hours of user interviews and focus groups, providing valuable insights for product development and iterations. -Performed in-depth data analysis, which informed critical business strategies and drove product iterations. Web development: - Solo executed full-stack web development using a technology stack including Flask, PostgreSQL, Bootstrap, and Google Cloud Storage.

Học vấn

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Master’s Degree
Data Science
2022 - 2023
3.957/4 GPA
Mô tả
Data Mining, Database, Statistical Modeling, ML/DL, NLP, Software Architecture for Big Data
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Non-Degree Program (e.g. Coursera certificate)
機器學習
2021 - 2021
Mô tả
Solid training in machine learning and deep learning. Presented a capstone project on text classification with extremely small and unbalanced dataset. Conducted a series of experiments using a variety of approaches, such as Easy Data Augmentation(EDA), GAN-BERT, Sentence-BERT... etc. Reported to boost the classifiers' performance by about 10%, comparing to the original BERT model.
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Bachelor’s Degree
Economiscs
2008 - 2012