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Maulana Abul Kalam Azad University of Technology
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軟體工程師、電玩程式設計師、後端工程師、APP開發工程師、演算法開發工程師
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Full Stack Developer @Taiwan Juye Ltd.
・
2017 ~ Sekarang
Full Stack Developer
Lebih dari satu tahun
PHP
Python
CodeIgniter
Sudah bekerja
・
Tidak terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
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
Dalam satu bulan
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
Tidak bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
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
Dalam satu bulan
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
Tidak bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
國立臺北大學 National Taipei University
・
經濟學
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Site In Charge @Wipro Limited
・
2013 ~ 2013
Data Scientist
Lebih dari satu tahun
Machine Learning with stats models and scikit-learn
Machine Learning
Statistical Analysis
Sudah bekerja
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
VIT University
・
Master of Technology
Avatar of 王文祥.
Avatar of 王文祥.
王文祥
經理 @鴻博資訊有限公司
・
2015 ~ Sekarang
軟體工程師、電玩程式設計師、後端工程師、APP開發工程師、演算法開發工程師
Dalam satu bulan
Word Database Language Chinese — Native Language English — Technical Document Listening, Speaking, Reading, Writing Summary of Personal Python Programming Experience I am a developer with extensive experience in Python programming, specializing in the development of AOI (Automatic Optical Inspection) systems. I excel in utilizing technologies such as OpenCV, Scikit-Image, scikit-learn, NumPy, Matplotlib, PyQt5, etc., to implement various functionalities. Additionally, I possess the ability to develop mobile applications using Django and React Native. I am proficient in using testing frameworks, GitHub for version control, and Docker for deployment. . Machine Learning and Deep Learning Here
Python
AOI
MES
Sudah bekerja
・
Siap untuk wawancara
Full-time / Hanya bekerja jarak jauh
10-15 tahun
崑工科技大學
・
電子工程
Avatar of Zaur Begiev.
Avatar of Zaur Begiev.
Zaur Begiev
Data Quality Engineer @X5 RETAIL GROUP
・
2020 ~ Sekarang
Data Quality Engineer
Lebih dari satu tahun
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 / Hanya bekerja jarak jauh
4-6 tahun
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 ~ Sekarang
Software Engineer, Machine Learning
Lebih dari satu tahun
. 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
Sudah bekerja
Full-time / Tertarik bekerja jarak jauh
10-15 tahun
The University of Texas at Austin
・
Post Graduate Program in Artificial Intelligence and Machine Learning
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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
Dalam satu bulan
Python
Power BI
Data Analytics
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
國立成功大學 National Cheng Kung University
・
Mechanical Engineering
Avatar of Nilanjan Das.
Avatar of Nilanjan Das.
Nilanjan Das
Data Scientist/ Engineer @Intomarkets
・
2022 ~ Sekarang
Data Scientist
Lebih dari satu tahun
Nilanjan Das Data Engineer Experienced data engineering practitioner with prior professional experience in data analytics and data science. My technical expertise helps me to build data engineering projects pipeline at scale from idealization till production deployment. I aspire to assign myself to a technically mid-senior role with a focus on consulting and liaising with multiple interdisciplinary teams. Hamburg, Germany [email protected] Experience Data Science/ Engineer (Amazon Ads) • Intomarkets AprilOct 2022 Responsible for dynamic data collection from Amazon Ad server, processing and storing in S3 bucket. Building and maintaining ML models and
Machine Learning
Statistical Analysis
Big Data
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
University of Paderborn
・
Master of Science in Computer

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Dalam tiga bulan
Avatar of 黃鈺倫.
黃鈺倫
Machine Learning Engineer / Orchestra Conductor
Logo of Binflux Inc..
Binflux Inc.
・
2021 ~ Sekarang
台灣新北市
Latar Belakang Profesional
Status sekarang
Sudah bekerja
Tahap pencarian kerja
Profesi
Software Engineer
Bidang Pekerjaan
Software
Pengalaman Kerja
2-4 tahun
Management
Saya berpengalaman mengelola 5-10 orang
Keterampilan
Python
Bahasa
Preferensi Pencarian Pekerjaan
Jabatan
大數據分析,資料科學家,資料工程師,AI工程師
Tipe Pekerjaan
Full-time
Lokasi
台灣台北
Bekerja jarak jauh
Tertarik bekerja jarak jauh
Freelance
Tidak
Pendidikan
Institusi Pendidikan
National Taiwan University
Jurusan
null
Cetak

黃鈺倫｜Alan
         

Summary
Machine learning engineer with experience in designing and implementing data pipelines, ETL workflows, working with big data technologies, and building AI models and services.

Skill
Python, SQL, NoSQL, Data Warehouse, AWS, Airflow, Spark, Docker, Ansible, Pytorch, Tensorflow.

Work Experience


Machine Learning Engineer  • Binflux Inc.

Oct 2021 - Now

  • Improved 80% efficiency and reduced manual intervention by designing and building ETL workflows and batch processing pipelines from scratch for AI products using Airflow and Python.

  • Reduced data processing time by 50% through implementing incremental data loading to optimize ETL processes.

  • Reduced data errors by 75% through implementing data validation to optimize data pipelines.

  • Designed and built a deep learning pipeline from scratch to monitor embryos using Python, MLflow, Hydra, Pytorch Lightning.

    • Reached 99.9% accuracy, comparable to SOTA.

    • Improved 10% accuracy in the more challenging scenario by further introducing new learning methodologies.

  • Improved a deep/machine learning pipeline to conduct embryo selection using Python, MLflow, Hydra, Tensorflow.

    • Increased 10% AUC and generalizability by combining heterogeneous data. 

    • Improved 2x data privacy and security by introducing decentralized learning.

    • Reduced 66% manual intervention by building a one-command decentralized training pipeline using Ansible.

  • Built and maintained AI services of previous pipelines using FastAPI, Tensorflow Serving, MariaDB, MongoDB, Redis, Docker and Docker Compose.

  • Edited and wrote 3 papers for journal publication: Using an Interpretable Machine Learning Model to Predict Corifollitropin Alfa Protocol, and 2 WIP.

Data Engineer Intern  • Flow Inc. AI Department, Data Team

Aug 2020 - Jan 2021

  • Increased 2x processing speed and improved 50% data accuracy by designing and building ETL workflows using Google Apps Script / Python.

  • Designed a data warehouse for the data analysis team.

  • Designed and built Power BI dashboards and KPIs.

  • Evaluated machine learning algorithms for specific projects.

Side Project

E-commerce data pipeline


  • Developed a batch processing pipeline using Python, Airflow, Spark, AWS S3, AWS EMR, AWS Redshift and Terraform.

  • Built a real-time recommendation service using Elasticsearch and FastAPI.

Education


Sep 2013 - Jun 2017

National Taiwan University, Bachelor

Business Administration

CV
Profil
Cetak

黃鈺倫｜Alan
         

Summary
Machine learning engineer with experience in designing and implementing data pipelines, ETL workflows, working with big data technologies, and building AI models and services.

Skill
Python, SQL, NoSQL, Data Warehouse, AWS, Airflow, Spark, Docker, Ansible, Pytorch, Tensorflow.

Work Experience


Machine Learning Engineer  • Binflux Inc.

Oct 2021 - Now

  • Improved 80% efficiency and reduced manual intervention by designing and building ETL workflows and batch processing pipelines from scratch for AI products using Airflow and Python.

  • Reduced data processing time by 50% through implementing incremental data loading to optimize ETL processes.

  • Reduced data errors by 75% through implementing data validation to optimize data pipelines.

  • Designed and built a deep learning pipeline from scratch to monitor embryos using Python, MLflow, Hydra, Pytorch Lightning.

    • Reached 99.9% accuracy, comparable to SOTA.

    • Improved 10% accuracy in the more challenging scenario by further introducing new learning methodologies.

  • Improved a deep/machine learning pipeline to conduct embryo selection using Python, MLflow, Hydra, Tensorflow.

    • Increased 10% AUC and generalizability by combining heterogeneous data. 

    • Improved 2x data privacy and security by introducing decentralized learning.

    • Reduced 66% manual intervention by building a one-command decentralized training pipeline using Ansible.

  • Built and maintained AI services of previous pipelines using FastAPI, Tensorflow Serving, MariaDB, MongoDB, Redis, Docker and Docker Compose.

  • Edited and wrote 3 papers for journal publication: Using an Interpretable Machine Learning Model to Predict Corifollitropin Alfa Protocol, and 2 WIP.

Data Engineer Intern  • Flow Inc. AI Department, Data Team

Aug 2020 - Jan 2021

  • Increased 2x processing speed and improved 50% data accuracy by designing and building ETL workflows using Google Apps Script / Python.

  • Designed a data warehouse for the data analysis team.

  • Designed and built Power BI dashboards and KPIs.

  • Evaluated machine learning algorithms for specific projects.

Side Project

E-commerce data pipeline


  • Developed a batch processing pipeline using Python, Airflow, Spark, AWS S3, AWS EMR, AWS Redshift and Terraform.

  • Built a real-time recommendation service using Elasticsearch and FastAPI.

Education


Sep 2013 - Jun 2017

National Taiwan University, Bachelor

Business Administration