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CakeResume Talent Search

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Taiwan
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Maulana Abul Kalam Azad University of Technology
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মৌলানা আবুল কালাম আজাদ প্রযুক্তি বিশ্ববিদ্যালয়
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New Taipei City, Taiwan
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Accenture Service Pvt Ltd
Diebold Nixdorf GmBH
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Philips Ltd.
Taiwan Juye Ltd.
Tata consultancy services
Tech Mahindra
Tinkoff
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Avatar of 王嘉俊 Garfield.
Avatar of 王嘉俊 Garfield.
王嘉俊 Garfield
Full Stack Developer @Taiwan Juye Ltd.
・
2017 ~ Present
Full Stack Developer
More than one year
發，作業層的App、網站，管理層的管理系統與API開發，高管的資料分析報表戰情室 前端：HTML5/JS/CSS JS:Jquery, AngularJS PHP: Codeigniter, Laravel Mobile: Android, React-Native Python:Pandas, Scikit-learn, Matplotlib,BeautifulSoup等 網管-DevOps OS：Linux Server: Apache, Nignx Tools: Docker, Jenkins Database:SQL類資料庫 Git: Github 企業管理 企劃書撰寫 專案規劃與執行，結案報告，核銷 企業流
PHP
Python
CodeIgniter
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taitung University
・
Management Information System
Avatar of 陳勤霖.
Avatar of 陳勤霖.
陳勤霖
Past
博士後研究員 @洛桑大學神經發育疾病實驗室
・
2023 ~ 2023
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
神經細胞追蹤分析，與藥理試驗。 2. 研究論文撰寫與國際研討會的舉辦。 技能 Data Science Data Analysis, Image Analysis, Machine Learning, Deep Learning, Statistical Analysis, Data visualization Programming Python, PyTorch, NumPy, Pandas, Matplotlib, Scikit-Learn, Git, PostgreSQL, Docker Biotechnology Neuroscience, Genetics, Imaging, Scientific Writing Soft skill Project Management, Probelm Solving, Team Player, Proactive Communication 語言 English — 專業 Chinese — 母語或雙語 French — 初階 學歷 洛桑聯邦理工學院(EPFL) 神經
Data Science
Data Analysis
Machine Learning
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
洛桑聯邦理工學院(EPFL)
・
神經科學
Avatar of 吳俊瑩.
Avatar of 吳俊瑩.
吳俊瑩
Past
Industrial Engineer @鴻海精密工業股份有限公司
・
2019 ~ 2023
Data Analyst 數據分析師 / Data Scientist 資料科學家
Within one month
據 ·思緒縝密、規劃能力強，領導團隊朝目標推進 ·積極主動、學習能力佳，持續吸收新知識 [email protected] 技能 Skills • Python • R • Power BI • MySQL • SAP • SAS • Pandas • Numpy • Matplotlib • Scikit-learn • Seaborn • TOEIC 705 工作經歷 Work Experience 鴻海 Foxconn Industrial Internet, IE工程師/AI專案分析師 , Feb 2019 ~ Jun工業4.0、 數位轉型專案推導 (70%)： 協助工
python
R
SAP
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立臺北大學 National Taipei University
・
經濟學
Avatar of the user.
Avatar of the user.
Available for paid companies
Site In Charge @Wipro Limited
・
2013 ~ 2013
Data Scientist
More than one year
Machine Learning with stats models and scikit-learn
Machine Learning
Statistical Analysis
Employed
Full-time / Interested in working remotely
4-6 years
VIT University
・
Master of Technology
Avatar of Zaur Begiev.
Avatar of Zaur Begiev.
Zaur Begiev
Data Quality Engineer @X5 RETAIL GROUP
・
2020 ~ Present
Data Quality Engineer
More than one year
pipelines and custom systems for data checking and monitoring. OctoberPresent Tutor/Code Reviewer • Yandex Consulted and mentored students at Data Analyst and Data Scientist educational programs at Practicum. OctoberOctober 2020 Data Analyst • Tinkoff Provided operational reporting and analytics. Consulted business interests for data-driven decision-making. Domain: remote customer service. AugustJune 2019 EducationFinance University Bachelor of Business Informatics , Information Technology Skills Big Data Hadoop: HDFS, Hive, Spark Orchestration: Airflow Data Visualization Tableau Data Quality Data Analysis Languages Russian — Native English — Fluent Python Pandas, Numpy, Scikit-learn etc. Dash, Streamlit, Flask etc. SQL
Data Visualization
Reporting
Predictive Modeling
Full-time / Remote Only
4-6 years
Finance University under the Government of the Russian Federation
・
Bachelor of Business Informatics , Information Technology
Avatar of Krish Chatterjee.
Avatar of Krish Chatterjee.
Krish Chatterjee
Machine Learning Engineer @Tata Consultancy Services
・
2021 ~ Present
Software Engineer, Machine Learning
More than one year
. Currently working on Data Science and Machine Learning Projects to develop modern day smart systems that will help in various steps of Supply Chain Management. Technical Skills: Python SQL PL/SQL JAVA AI / Machine Learning Data Science Data Analysis Statistical Analysis Predictive Analysis Hypothesis Data Visualization Pandas / NumPy Exploratory Data Analysis Scikit Learn / PySpark Seaborn / Matplotlib Domain Skills: Supply Chain Management Manufacturing Inventory Management Shipping Warehouse Management Pricing Account Receivables Education : Some Projects: Inventory Management : Real-time insights and visibility into inventory along the supply lines. Optimizing Delivery timelines by predictive demand
Python
Oracle ERP
Oracle SQL
Employed
Full-time / Interested in working remotely
10-15 years
The University of Texas at Austin
・
Post Graduate Program in Artificial Intelligence and Machine Learning
Avatar of the user.
Avatar of the user.
Available for paid companies
Product Manager @東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)
・
2023 ~ 2023
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
Python
Power BI
Data Analytics
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立成功大學 National Cheng Kung University
・
Mechanical Engineering
Avatar of the user.
Avatar of the user.
Available for paid companies
Data Scientist/ Engineer @Intomarkets
・
2022 ~ Present
Data Scientist
More than one year
Machine Learning
Statistical Analysis
Big Data
Full-time / Interested in working remotely
6-10 years
University of Paderborn
・
Master of Science in Computer

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Problem-Solving
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Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
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Avatar of 簡孝羽.
簡孝羽
台灣基隆
Professional Background
Current status
Unemployed
Job Search Progress
Not open to opportunities
Professions
Machine Learning Engineer
Fields of Employment
Work experience
Less than 1 year
Management
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Skills
Tensorflow/Keras
OpenCV
Pandas Scikit-Learn Matplotlib
python programming
Deep learning with TensorFlow
Machine Learning
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English
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Intermediate
Job search preferences
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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
Job types
Full-time
Locations
台灣台北市
Remote
Interested in working remotely
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Educations
School
淡江大學
Major
資訊工程學系
Print

  Keelung City, Taiwan

Email: [email protected]

Phone: 0933101297

Github: github.com/Rainman5042 

簡孝羽

淡江大學資訊工程碩士

  AI Engineer  | 積極負責 | 擅於溝通 | 適應力強 | 勇於嘗試新事物

  • 多次競賽相關經驗
  • 碩士研究 - 基於深度學習 BERT 語言模型之醫療影像報告生成系統
  • 深度學習｜影像處理｜ 自然語言

於碩士在學期間研究影像處理、自然語言以及影像描述等技術，並將其應用於醫療影像的判讀以及醫療報告生成，期許利用自身所學，降低醫療系統的龐大負擔。在學期間曾參加全國性競賽，並於2019全國智慧製造大數據競賽成功進入決賽，以及2021 Tomofun狗音辨識AI挑戰賽排名前9%，樂於應用自身所學解決各領域所遇到的問題。

Skills

Programing & IDEs

  • Python ( 3+ years experience )
  • Jupyter Notebook
  • Visual Studio

Package

  • Tensorflow 
  • Keras
  • Scikit-Learn
  • Numpy
  • Pandas
  • NLTK
  • OpenCV
  • Matplotlib

ML Algorithms

  • Data Preprocessing
  • Feature Engineering 

  • Model Design, Training

  • Data Visualization

  • Transfer Learning  

Machine Learning

  • Statistic Analysis
  • Linear/Logistic Regression
  • Classification

  • Image Captioning

  • CNN

  • BERT

競賽經歷

Jun 2021 - July 2021

2021 Tomofun狗音辨識 AI 百萬挑戰賽

題目: 利用主辦方所提供的六種居家環境音建立音源分類模型，排名前9% (27/300)。 

關鍵字:  log-Mei spectrum, EfficentNet, Mixup, SpecAugment

May 2020 - Jun 2020

2020全國智慧製造大數據競賽 

題目: 以加工機台的設定參數作為訓練資料，預測其中20個設定參數的數據。

指導兩位淡江機電系大學生組隊參加，負責演算法開發，資料前處理。

關鍵字: Hot Deck Imputation, LightGBM, K-fold

May 2019 - Jun 2019

2019全國智慧製造大數據競賽 - 進入決賽

題目: 利用刀具加工震動數據預測刀具磨耗類別與加工工件表面品質。

與兩位淡江機電系研究生組隊參加，負責演算法開發，資料前處理。 

關鍵字: Fast Fourier transform, MFCCs, Linear Regression

其他經歷


 Sep 2019 - Jan 2020

大學助理教師

研究生時擔任助理教師，負責淡江資工系大學生App Inventor 2  課程，使用App Inventor 2 做出Android App，提升大學生的程式基本概念。

 Aug 2016 - Aug 2017

法務部行政執行署高雄分署-替代役管理幹部

於行政執行署高雄分署服役時，擔任替代役管理幹部，協助長官管理役男生活起居，輔助長官完成交辦事項。

學歷

淡江大學

資訊工程學系碩士

2018 - 2020

真理大學

企業管理學系學士

2012 - 2016

碩士論文

基於深度學習 BERT 語言模型之醫療影像報告生成系統

使用IU X-Ray以及PEIR Gross醫療影像資料庫，使用VGG以及ResNet做為影像特徵擷取模型，並使用 Conditional Layer Normalization，來控制 BERT 生成相對應的文字報告，最後使用集束搜尋 (Beam Search) 來增加輸出文字的準確度。研究結果顯示使用BERT結合VGG或ResNet，可達到 BLEU-1 : 0.636，其表現皆優於其他使用RNN的語言模型 。

使用VGG19建立手勢辨識模型

使用24個英文字母手勢影像做為訓練資料，利用Opencv將影像經過膨脹處理，使用Otsu二值化做背景去除&手勢定位，利用VGG-19建立分類模型，模型準確率可達到99.5%。

Tomofun狗音辨識 AI 百萬挑戰賽

利用主辦方所提供的六種居家環境音建立音源分類模型

使用log-Mel-Spectrum結合Delta Features & Accelerate features，堆疊成三維影像做為訓練資料，並使用了 SpecAugment、Mixup等前處理。使用 EfficientNet 做為主要的模型架構，測試準確率91.2%，ROC Curve score 為 0.981，在競賽中排名前9% (27/300)。


Resume
Profile
Print

  Keelung City, Taiwan

Email: [email protected]

Phone: 0933101297

Github: github.com/Rainman5042 

簡孝羽

淡江大學資訊工程碩士

  AI Engineer  | 積極負責 | 擅於溝通 | 適應力強 | 勇於嘗試新事物

  • 多次競賽相關經驗
  • 碩士研究 - 基於深度學習 BERT 語言模型之醫療影像報告生成系統
  • 深度學習｜影像處理｜ 自然語言

於碩士在學期間研究影像處理、自然語言以及影像描述等技術，並將其應用於醫療影像的判讀以及醫療報告生成，期許利用自身所學，降低醫療系統的龐大負擔。在學期間曾參加全國性競賽，並於2019全國智慧製造大數據競賽成功進入決賽，以及2021 Tomofun狗音辨識AI挑戰賽排名前9%，樂於應用自身所學解決各領域所遇到的問題。

Skills

Programing & IDEs

  • Python ( 3+ years experience )
  • Jupyter Notebook
  • Visual Studio

Package

  • Tensorflow 
  • Keras
  • Scikit-Learn
  • Numpy
  • Pandas
  • NLTK
  • OpenCV
  • Matplotlib

ML Algorithms

  • Data Preprocessing
  • Feature Engineering 

  • Model Design, Training

  • Data Visualization

  • Transfer Learning  

Machine Learning

  • Statistic Analysis
  • Linear/Logistic Regression
  • Classification

  • Image Captioning

  • CNN

  • BERT

競賽經歷

Jun 2021 - July 2021

2021 Tomofun狗音辨識 AI 百萬挑戰賽

題目: 利用主辦方所提供的六種居家環境音建立音源分類模型，排名前9% (27/300)。 

關鍵字:  log-Mei spectrum, EfficentNet, Mixup, SpecAugment

May 2020 - Jun 2020

2020全國智慧製造大數據競賽 

題目: 以加工機台的設定參數作為訓練資料，預測其中20個設定參數的數據。

指導兩位淡江機電系大學生組隊參加，負責演算法開發，資料前處理。

關鍵字: Hot Deck Imputation, LightGBM, K-fold

May 2019 - Jun 2019

2019全國智慧製造大數據競賽 - 進入決賽

題目: 利用刀具加工震動數據預測刀具磨耗類別與加工工件表面品質。

與兩位淡江機電系研究生組隊參加，負責演算法開發，資料前處理。 

關鍵字: Fast Fourier transform, MFCCs, Linear Regression

其他經歷


 Sep 2019 - Jan 2020

大學助理教師

研究生時擔任助理教師，負責淡江資工系大學生App Inventor 2  課程，使用App Inventor 2 做出Android App，提升大學生的程式基本概念。

 Aug 2016 - Aug 2017

法務部行政執行署高雄分署-替代役管理幹部

於行政執行署高雄分署服役時，擔任替代役管理幹部，協助長官管理役男生活起居，輔助長官完成交辦事項。

學歷

淡江大學

資訊工程學系碩士

2018 - 2020

真理大學

企業管理學系學士

2012 - 2016

碩士論文

基於深度學習 BERT 語言模型之醫療影像報告生成系統

使用IU X-Ray以及PEIR Gross醫療影像資料庫，使用VGG以及ResNet做為影像特徵擷取模型，並使用 Conditional Layer Normalization，來控制 BERT 生成相對應的文字報告，最後使用集束搜尋 (Beam Search) 來增加輸出文字的準確度。研究結果顯示使用BERT結合VGG或ResNet，可達到 BLEU-1 : 0.636，其表現皆優於其他使用RNN的語言模型 。

使用VGG19建立手勢辨識模型

使用24個英文字母手勢影像做為訓練資料，利用Opencv將影像經過膨脹處理，使用Otsu二值化做背景去除&手勢定位，利用VGG-19建立分類模型，模型準確率可達到99.5%。

Tomofun狗音辨識 AI 百萬挑戰賽

利用主辦方所提供的六種居家環境音建立音源分類模型

使用log-Mel-Spectrum結合Delta Features & Accelerate features，堆疊成三維影像做為訓練資料，並使用了 SpecAugment、Mixup等前處理。使用 EfficientNet 做為主要的模型架構，測試準確率91.2%，ROC Curve score 為 0.981，在競賽中排名前9% (27/300)。