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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

Professional Background

  • Statut Actuel
    Employé
  • Profession
    Data Analyst
    Web Developer
  • Fields
    Intelligence Artificielle / Machine Learning
    Éducation à la Technologie
  • Expérience professionnelle
    6 à 10 ans (6 à 10 ans pertinente)
  • Management
    I've had experience in managing 1-5 people
  • Skills
    Python
    Machine Learning
    Deep Learning
    PyTorch
    TensorFlow
  • Languages
    English
    Professionnel
    Japanese
    Débutant
  • Highest level of education
    Master

Job search preferences

  • Desired job type
    Temps plein
    Intéressé par le travail à distance
  • Desired positions
    Data, backend or project management
  • Lieu de travail désiré
  • Freelance
    Indépendant à temps partiel

Work Experience

Founder

MyDearTeacher
Temps plein
août 2014 - juil. 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.

Education

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Master’s Degree
Data Science
2022 - 2023
3.957/4 GPA
Description
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
Description
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