- Lowongan
- Panduan KarirPengembangan KarirWawancara Orang/PerusahaanBusiness ExcellenceDari CakeResumeBacaan Unggulan
- Untuk Perusahaan
- Download aplikasi CakeResume
CakeResume Talent Search
Advanced filters
On
Hasil pencarian tidak ditemukan.
Hasil pencarian tidak ditemukan.
Hasil pencarian tidak ditemukan.
AI Smart Matching
On
Hasil pencarian tidak ditemukan.
Hasil pencarian tidak ditemukan.
4-6 tahun
6-10 tahun
10-15 tahun
Lebih dari 15 tahun
Past
Lecturer Statistics @Naveed Majeed Academy2020 ~ 2021
・
Lecturer
Lebih dari satu tahun
Samra Irshad Lecturer Statistics I have recently completed my MPhil in major Statistics and got an A+ in my research work. My area of Research was Biostatistics. I have over 4 years of teaching experience in Mathematics and Statistics. Besides this teaching experience, I also have a variety of experiences in non-teaching fields. Lahore, Punjab, Pakistan Work Experience FebruaryFebruary 2021 Lecturer Statistics Naveed Majeed Academy Taught statistics to intermediate and undergraduate students. Showed excellent results. AugustJanuary 2020 Lecturer Mathematics Farooqi Girls High School Taught Mathematics to science and arts groups of 9th
Tidak bekerja
Paruh waktu / Tidak tertarik bekerja jarak jauh
4-6 tahun
Government College University Lahore
・
MPhil Statistics Paket Perekrutan Paling Mudah dan Efektif, Pilihan Ratusan Perusahaan
Cari lebih dari 800 ribu CV dan ambil aksi menghubungi pelamar kerja untuk rekrutmen yang lebih efektif. Pilihan ratusan perusahaan.
- Lihat semua hasil pencarian
- Tanpa batas harian untuk memulai pesan baru
- CV dapat diakses oleh perusahaan berbayar
- Lihat email pengguna & nomor telepon
Tips pencarian
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
Hanya CV publik yang tersedia dengan paket gratis.
Upgrade ke paket lanjutan untuk melihat semua hasil pencarian, termasuk 10.000 lebih CV eksklusif di Cake Resume.
Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Latar Belakang Profesional
Status sekarang
Sudah bekerja
Tahap pencarian kerja
Profesi
Software Engineer
Bidang Pekerjaan
Intelegensi Artifisial/Pemelajaran Mesin
Pengalaman Kerja
2-4 tahun
Management
Saya berpengalaman mengelola 15+ orang
Keterampilan
Bahasa
English
・
Menengah
Preferensi Pencarian Pekerjaan
Jabatan
人工智慧工程師、軟體設計工程師、Deep learning engineer、Machine learning engineer、深度學習工程師、機器學習工程師
Tipe Pekerjaan
Full-time
Lokasi
Bekerja jarak jauh
Freelance
Pendidikan
Institusi Pendidikan
國防醫學大學
Jurusan
公共衛生學系
陳映竹 ( Joanna)
Aged: 26
Gender: female
Education
Master of Science in Public Health, National Defense Medical Center
Advanced fields: Deep Learning, Data visualization, Statistics, Bioinformatics
2019 - 2021
Bachelor of Science in Public Health, Kaohsiung Medical University
Advanced fields: Biostatistics, Epidemiology, Genetics
2015 - 2019
Project Experience
Dec 2022 - Dec 2023
oToBrite Electronics
Obstacle detection of Auto Parking Assist
Object segmentation, PyTorch
- Optimize the model architecture to shorten the computation time by 15%.
- In 380 test videos, the accuracy of parking space status is over 90%.
- The model has reached the mass production specifications.
Dec 2021 - Dec 2022
oToBrite Electronics
Lane Line detection of Lane Departure Warning
Object segmentation, PyTorch
- Improve the model IoU by over 10% and achieved a lane detection rate of 98%, with mass production already implemented for two clients.
- In 270 test videos, the model achieved a lane-switching detection rate higher than 97% and an off-lane distance accuracy exceeding 85%.
Feb 2021 - Jun 2021
Defense Medical Center
Assistive Diagnosis of Posterior Circulation Ischemic Stroke
Object segmentation, Statistics, MxNet
- Propose a novel quantitative scale and enhance the accuracy of prognosis for patients with posterior circulation ischemic stroke.
- Reduce the time required for evaluating patients' prognoses from 30 minutes to less than 5 minutes.
Face detection and identity recognition
Object detection, Verification loss , Apps, MxNet
- Utilize verification loss to quantify similarities among multiple faces for recognizing each face's identity.
- Once users create their own identity profiles, the model can recognize identities without the need for retraining.
Expertise
- Object segmentation
- Object detection
- Statistics
Software
- Python (PyTorch)
- R (MxNet / Shiny-Apps)
陳映竹 ( Joanna)
Aged: 26
Gender: female
Education
Master of Science in Public Health, National Defense Medical Center
Advanced fields: Deep Learning, Data visualization, Statistics, Bioinformatics
2019 - 2021
Bachelor of Science in Public Health, Kaohsiung Medical University
Advanced fields: Biostatistics, Epidemiology, Genetics
2015 - 2019
Project Experience
Dec 2022 - Dec 2023
oToBrite Electronics
Obstacle detection of Auto Parking Assist
Object segmentation, PyTorch
- Optimize the model architecture to shorten the computation time by 15%.
- In 380 test videos, the accuracy of parking space status is over 90%.
- The model has reached the mass production specifications.
Dec 2021 - Dec 2022
oToBrite Electronics
Lane Line detection of Lane Departure Warning
Object segmentation, PyTorch
- Improve the model IoU by over 10% and achieved a lane detection rate of 98%, with mass production already implemented for two clients.
- In 270 test videos, the model achieved a lane-switching detection rate higher than 97% and an off-lane distance accuracy exceeding 85%.
Feb 2021 - Jun 2021
Defense Medical Center
Assistive Diagnosis of Posterior Circulation Ischemic Stroke
Object segmentation, Statistics, MxNet
- Propose a novel quantitative scale and enhance the accuracy of prognosis for patients with posterior circulation ischemic stroke.
- Reduce the time required for evaluating patients' prognoses from 30 minutes to less than 5 minutes.
Face detection and identity recognition
Object detection, Verification loss , Apps, MxNet
- Utilize verification loss to quantify similarities among multiple faces for recognizing each face's identity.
- Once users create their own identity profiles, the model can recognize identities without the need for retraining.
Expertise
- Object segmentation
- Object detection
- Statistics
Software
- Python (PyTorch)
- R (MxNet / Shiny-Apps)