- Jobs
ResumeCreate your job-winning resume using our free resume builder.
PortfolioShowcase your skills and projects with a professional portfolio.ResumeCreate your job-winning resume using our free resume builder.Resume BuilderMake a resume for free.Resume TemplatesAccess our extensive library of professional & ready-to-use templates.Resume ExamplesGet inspired by real resume examples to create your own.Occupation GuideAccess resume writing guides tailored for different professions.Resume HelpGet expert advice on all things resume from our team of recruitment specialists.- ResourcesSuccess StoriesBusiness ExcellenceAbout CakeResumeFeatured Reads
- Hire
- Download our App
CakeResume Talent Search
Le Plan de Recrutement le Plus Efficace et Facile
Recherchez 800.000 CV et prenez l'initiative de contacter les candidats pour améliorer votre taux de recrutement. Le Choix de Centaines d'Entreprises
- Consulter tous les résultats
- Démarrer des nouvelles conversations sans limites
- Seules les entreprises avec un abonnement peuvent consulter les CV
- Consulter les adresses email et les numéros de téléphone des utilisateurs
Definition of Reputation Credits
Tang-Wei, Hung
Graduated from Monash University with the master's degree in Data Science in 2021, and familiar with Python, Database, and Machine Learning skills.
2+ years of experience in Data Science in NLP, Graph Database (Neo4j), and MLops.
Having Google Cloud Certified professional machine learning engineer and Neo4j Graph Data Science Certification.
Skills
Programming
Python 
Docker HTML CSS
DataBase
MySQL PostgreSQL OracleSQL 
Data Science
Tensorflow 
Google Cloud 
Tableau
Work Experience
Data Scientist
TPI Software • Mar 2021 - present
MLops:
• Cooperate with Google Inc to Build MLops on GCP for Customers.
• Build ETL pipeline by using airflow and dataflow on GCP.
• Use Kubeflow Python SDK to build training pipeline with AutoML and Custom
model.
• CI/CD with Cloud Repository and Cloud Build on GCP.
• Continuous train pipeline build on GCP.
ETL:
• Batch Export Cloud SQL table to Cloud Storage by using Cloud Kubernetes Engine
• Build ETL job by using Cloud Workflow on GCP
• Build ELT pipeline by using Bigquery and Dataform for a Healthcare project
• Schedule Cloud SQL backups by using Cloud Function and Cloud Run on GCP
NLP:
• Build sentence classification model by using BERT, tf-idf, word2vec, Sentence-BERT
in the government agency project.
• Build Docker Image for model serving.
• Use Django framework for RESTful API.
Graph Data Science:
• Use Graph Algorithms in Neo4j to detect smuggling crime in RFP for the
government agency.
• Use Neo4j to build knowledge graphs.
• As an employee training speaker about teaching Neo4j Graph Database for Cathay.
• Applying Data Science in Finance: Neo4j with GDS and ML for Financial Fraud
Detection
Data Assistant
Dcard • Dec 2019 - Feb 2020
• Interact with PostgreSQL
• Data Wrangling
• Word Tokenization
• TF-IDF
• Word Embedding (Word2Vec)
• Topic Modelling (LDA)
• Data Labeling
• Assist to set up internal label system (Django)
Quality Assurance Intern
ULSee Inc • Dec 2018 - Feb 2019
• Quality Assurance Test
• Update QA Table
• Unity/Blender
Foreign Remittance Staff
MUFG Bank Taipei Branch • Oct 2017 - Oct 2018
• Provide foreign remittance to the client
• Help clients exchange money into foreign currency
• Process big foreign remittance data and analyze data
• Answer all clients' questions about foreign remittance
• Communicate and coordinate with other departments.
Teaching Assistant
Sk2 TOEFL Consultant, Taipei • Jul 2017 - Nov 2017
• Prepared teaching equipment for the teacher
• Corrected students' TOEFL writing homework.
• Offered advice to students and helps them find solutions.
• Tutored students in TOEFL Writing, Speaking, Reading, and listening.
Teaching Assistant
National University of Kaohsiung • Feb 2015 - Jul 2015
• Taught to use Excel to build a stock portfolio and use big data to complete targets.
• Helped teacher teach Asset Pricing.
• Prepared teaching equipment for the teacher.
• Provided advice for students and help them find solutions.
Education
Monash University
Master of Data Science • 2019 - 2021
Databases:
• Introduction to databases (OracleSQL)
Data Science (Basic):
• Introduction to data science (Python, R)
• Data Wrangling (Python)
• Modelling for data analysis (Python)
Data Science (Advance):
• Data processing for big data (Python, Spark, MongoDB)
• Data analysis for semi-structured data(Python- PyTorch)
• Machine Learning(Python, R)
• Applied Data Analysis(Python, R)
• Data Exploration and visualisation (Python, Tableau, R, D3)
National University of Kaohsiung
Bachelor of Finance • 2011 - 2015
• Asset Pricing
• Excel VBA / Python
Certification
Google Cloud Certified Professional MachineLearning Engineer
I got Google Cloud Certified! I have what it takes to leverage Google Cloud technology
Neo4j Graph Data Science Certified
The Neo4j Graph Data Science Library enables data scientists to execute graph algorithms that operate on the nodes and relationships in a graph.
https://neo4j.com/graphacademy/neo4j-gds-certify/
Neo4j Certified Professional
The demand for professionals with Neo4j skills is growing tremendously. Now, you can become one of the first to prove your experience. Tomorrow’s jobs require NoSQL and graph database skills – so invest now to advance your career.
Side Projects
Applying Data Science in Finance: Neo4j with GDS and ML for Financial Fraud Detection
Graph databases have fueled new types of applications in the era of big data. From recommendation systems of social networks and e-commerce to financial services data relationships, Neo4j can capture the complex relationship of data and network structure, allowing faster problem-solving.
Compared to traditional databases, Neo4j is intuitive, simple and understandable for non-technical users. In this workshop, you will learn how to detect first-party financial fraud using Neo4j, and leverage graph algorithms and machine learning for fraud prediction.
Neo4j with GDS & ML for Financial Fraud Detection (English Webinar) | ACCUPASS
Heart Station
HeartStation helps you prevent heart disease.
Quickly check your risk of contracting heart disease in the next 5-10 years by using Machine Learning.
Also, use a diet guide to find the right nutrients and, based on a diet guide, you can find heart-healthy recipes. Finally, you can search for the nearest hospital around you.
Tang-Wei, Hung
Graduated from Monash University with the master's degree in Data Science in 2021, and familiar with Python, Database, and Machine Learning skills.
2+ years of experience in Data Science in NLP, Graph Database (Neo4j), and MLops.
Having Google Cloud Certified professional machine learning engineer and Neo4j Graph Data Science Certification.
Skills
Programming
Python Docker HTML CSS
DataBase
MySQL PostgreSQL OracleSQL
Data Science
Tensorflow Google Cloud Tableau
Work Experience
Data Scientist
TPI Software • Mar 2021 - present
MLops:
• Cooperate with Google Inc to Build MLops on GCP for Customers.
• Build ETL pipeline by using airflow and dataflow on GCP.
• Use Kubeflow Python SDK to build training pipeline with AutoML and Custom
model.
• CI/CD with Cloud Repository and Cloud Build on GCP.
• Continuous train pipeline build on GCP.
ETL:
• Batch Export Cloud SQL table to Cloud Storage by using Cloud Kubernetes Engine
• Build ETL job by using Cloud Workflow on GCP
• Build ELT pipeline by using Bigquery and Dataform for a Healthcare project
• Schedule Cloud SQL backups by using Cloud Function and Cloud Run on GCP
NLP:
• Build sentence classification model by using BERT, tf-idf, word2vec, Sentence-BERT
in the government agency project.
• Build Docker Image for model serving.
• Use Django framework for RESTful API.
Graph Data Science:
• Use Graph Algorithms in Neo4j to detect smuggling crime in RFP for the
government agency.
• Use Neo4j to build knowledge graphs.
• As an employee training speaker about teaching Neo4j Graph Database for Cathay.
• Applying Data Science in Finance: Neo4j with GDS and ML for Financial Fraud
Detection
Data Assistant
Dcard • Dec 2019 - Feb 2020
• Interact with PostgreSQL
• Data Wrangling
• Word Tokenization
• TF-IDF
• Word Embedding (Word2Vec)
• Topic Modelling (LDA)
• Data Labeling
• Assist to set up internal label system (Django)
Quality Assurance Intern
ULSee Inc • Dec 2018 - Feb 2019
• Quality Assurance Test
• Update QA Table
• Unity/Blender
Foreign Remittance Staff
MUFG Bank Taipei Branch • Oct 2017 - Oct 2018
• Provide foreign remittance to the client
• Help clients exchange money into foreign currency
• Process big foreign remittance data and analyze data
• Answer all clients' questions about foreign remittance
• Communicate and coordinate with other departments.
Teaching Assistant
Sk2 TOEFL Consultant, Taipei • Jul 2017 - Nov 2017
• Prepared teaching equipment for the teacher
• Corrected students' TOEFL writing homework.
• Offered advice to students and helps them find solutions.
• Tutored students in TOEFL Writing, Speaking, Reading, and listening.
Teaching Assistant
National University of Kaohsiung • Feb 2015 - Jul 2015
• Taught to use Excel to build a stock portfolio and use big data to complete targets.
• Helped teacher teach Asset Pricing.
• Prepared teaching equipment for the teacher.
• Provided advice for students and help them find solutions.
Education
Monash University
Master of Data Science • 2019 - 2021
Databases:
• Introduction to databases (OracleSQL)
Data Science (Basic):
• Introduction to data science (Python, R)
• Data Wrangling (Python)
• Modelling for data analysis (Python)
Data Science (Advance):
• Data processing for big data (Python, Spark, MongoDB)
• Data analysis for semi-structured data(Python- PyTorch)
• Machine Learning(Python, R)
• Applied Data Analysis(Python, R)
• Data Exploration and visualisation (Python, Tableau, R, D3)
National University of Kaohsiung
Bachelor of Finance • 2011 - 2015
• Asset Pricing
• Excel VBA / Python
Certification
Google Cloud Certified Professional MachineLearning Engineer
I got Google Cloud Certified! I have what it takes to leverage Google Cloud technology
Neo4j Graph Data Science Certified
The Neo4j Graph Data Science Library enables data scientists to execute graph algorithms that operate on the nodes and relationships in a graph.
https://neo4j.com/graphacademy/neo4j-gds-certify/
Neo4j Certified Professional
The demand for professionals with Neo4j skills is growing tremendously. Now, you can become one of the first to prove your experience. Tomorrow’s jobs require NoSQL and graph database skills – so invest now to advance your career.
Side Projects
Applying Data Science in Finance: Neo4j with GDS and ML for Financial Fraud Detection
Graph databases have fueled new types of applications in the era of big data. From recommendation systems of social networks and e-commerce to financial services data relationships, Neo4j can capture the complex relationship of data and network structure, allowing faster problem-solving.
Compared to traditional databases, Neo4j is intuitive, simple and understandable for non-technical users. In this workshop, you will learn how to detect first-party financial fraud using Neo4j, and leverage graph algorithms and machine learning for fraud prediction.
Neo4j with GDS & ML for Financial Fraud Detection (English Webinar) | ACCUPASS
Heart Station
HeartStation helps you prevent heart disease.
Quickly check your risk of contracting heart disease in the next 5-10 years by using Machine Learning.
Also, use a diet guide to find the right nutrients and, based on a diet guide, you can find heart-healthy recipes. Finally, you can search for the nearest hospital around you.