CakeResume 找人才
進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
曾任
Lecturer Statistics @Naveed Majeed Academy2020 ~ 2021
・
Lecturer
超過一年
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
待業中
兼職 / 暫不考慮遠端工作
4 到 6 年
Government College University Lahore
・
MPhil Statistics 
Senior Assistant Researcher @中天生物科技股份有限公司2021 ~ 現在
・
biostatistician, data standards analyst, statistical programmer, merchandiser
半年內
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
就職中
全職 / 對遠端工作有興趣
6 到 10 年
National Taiwan Ocean University, Taiwan
・
Bioscience and Biotechnology
Health Economist/Process Improvement Specialist @Johns Hopkins Health System2019 ~ 現在
・
Senior Economist
超過一年
就職中
・
目前沒有興趣尋找新的機會
全職 / 對遠端工作有興趣
4 到 6 年
Johns Hopkins University
・
Business Analytics and Risk Managmenet, Health Care Management最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
專業背景
目前狀態
就職中
求職階段
專業
軟體工程師
產業
人工智慧 / 機器學習
工作年資
2 到 4 年
管理經歷
我有管理 15 人以上的經驗
技能
語言能力
English
・
中階
求職偏好
希望獲得的職位
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
預期工作模式
全職
期望的工作地點
遠端工作意願
接案服務
學歷
學校
國防醫學大學
主修科系
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)