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Avatar of Samra Irshad.
Avatar of Samra Irshad.
Past
Lecturer Statistics @Naveed Majeed Academy
2020 ~ 2021
Lecturer
Plus d'1 an
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
Microsoft Office
SPSS
R language
Sans Emploi
Temps partiel / Je ne suis pas intéressé par le travail à distance
4 à 6 ans
Government College University Lahore
MPhil Statistics
Avatar of Cheng Yu Hou.
Avatar of Cheng Yu Hou.
Senior Assistant Researcher @中天生物科技股份有限公司
2021 ~ Présent
biostatistician, data standards analyst, statistical programmer, merchandiser
Dans 6 mois
Cheng-Yu Hou Bioinformatician 10+ years work experience in Bioinformatics. Advantages: Experiences of both hands on Bioinformatics analysis and molecular biology experiments, which helps me to solve biology problems and to interpret questions as a biologist. Phone:Line ID: Irous Mail: [email protected] Education National Taiwan Ocean University, Taiwan, Master degree, Bioscience and Biotechnology 2009 ~ 2011 | Thesis: Production of Chitooligosaccharides by Enzyme Engineering Chinese Culture University, Taiwan, Bachelor degree, Life Science 2005 ~ 2009 | Student Association of Life Science Department Work Experience (10+ years in Bioinformatics) NGS team, Microbio Group, Taiwan, Senior assistant
Perl
Python
Visual Basic
Employé
Temps plein / Intéressé par le travail à distance
6 à 10 ans
National Taiwan Ocean University, Taiwan
Bioscience and Biotechnology
Avatar of the user.
Avatar of the user.
Health Economist/Process Improvement Specialist @Johns Hopkins Health System
2019 ~ Présent
Senior Economist
Plus d'1 an
C++
Python
R
Employé
Ne recherche pas de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
4 à 6 ans
Johns Hopkins University
Business Analytics and Risk Managmenet, Health Care Management

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Dans 6 mois
AI Engineer
歐特明電子股份有限公司
2021 ~ Présent
台灣台北市
Professional Background
Statut Actuel
Employé
Progrès de la Recherche d'Emploi
Professions
Software Engineer
Fields of Employment
Intelligence Artificielle / Machine Learning
Expérience Professionnelle
2 à 4 ans
Management
I've had experience in managing 15+ people
Compétences
Object detection
Object segmentation
Image Classification
Statistics
Langues
English
Intermédiaire
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Position Désirée
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
Type d'emploi
Temps plein
Lieu Désiré
Travail à distance
Freelance
Éducation
École
國防醫學大學
Spécialisation
公共衛生學系
Imprimer

陳映竹 ( Joanna)

Aged: 26

Gender: female


Phone: 0916-209-822

Email: [email protected]

Expertise: deep learning, machine learning, statistics

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 segmentationStatistics, 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.

Jan 2021 - Apr 2021
Defense Medical Center 

Face detection and identity recognition 

Object detection, Verification loss , AppsMxNet

  • 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)
Resume
Profile

陳映竹 ( Joanna)

Aged: 26

Gender: female


Phone: 0916-209-822

Email: [email protected]

Expertise: deep learning, machine learning, statistics

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 segmentationStatistics, 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.

Jan 2021 - Apr 2021
Defense Medical Center 

Face detection and identity recognition 

Object detection, Verification loss , AppsMxNet

  • 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)