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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

Latar Belakang Profesional

  • Status sekarang
    Sudah bekerja
  • Profesi
    Data Analyst
    Web Developer
  • Bidang
    Intelegensi Artifisial/Pemelajaran Mesin
    EdTech
  • Pengalaman Kerja
    6-10 tahun (relevan 6-10 tahun)
  • Management
    Saya berpengalaman mengelola 1-5 orang
  • Skil
    Python
    Machine Learning
    Deep Learning
    PyTorch
    TensorFlow
  • Bahasa
    English
    Profesional
    Japanese
    Pemula
  • Pendidikan tertinggi
    Master

Preferensi pencarian kerja

  • Jenis pekerjaan yang diinginkan
    Full-time
    Tertarik bekerja jarak jauh
  • Jabatan pekerjaan yang diinginkan
    Data, backend or project management
  • Lokasi pekerjaan yang diinginkan
  • Bekerja lepas
    Pekerja lepas paruh waktu

Pengalaman Kerja

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.

Edukasi

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Master
Data Science
2022 - 2023
3.957/4 GPA
Deskripsi
Data Mining, Database, Statistical Modeling, ML/DL, NLP, Software Architecture for Big Data
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Program Non-Gelar (mis. sertifikat Coursera)
機器學習
2021 - 2021
Deskripsi
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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Sarjana
Economiscs
2008 - 2012