- 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
Sam (Hsien-Hao) Hsu
Recently, a Data Engineer in a project-oriented team at PChome Online. Formerly a Data Science intern at an insurance company, DHL Express PM intern, Nepal volunteer, Dance Club instructor, theater assistant in college. My diverse background builds up my personality, such as self-motivating, problem-solving, enjoying challenge, leadership and analytical thinking.
Taipei City, Taiwan +886952292118 [email protected]
Education
University of Houston
Master of Science in Statistics and Data Science • 2019 - 2020
Related Courses: Data Visualization, Data Mining, Deep learning, Neural Network, BigData Analytics
University of Connecticut
Exchange Program • 2018 - 2019
Related Courses: Project Management, Algorithms, Manufacturing Engineering, Business Analysis
National Chengchi University
Bachelor of Science in Mathematical Science • 2014 - 2018
Related Courses: Data Structures, Numerical Analysis, Operation Research, Optimization Theory
Work Experience
Data Engineer
PChome Online
March 2021 - Present
Taipei, Taiwan
- Data Science
- Design segment marketing tags for members by purchase and browsing history. Predict the next customer's purchase by time series model.
- Utilize campaign data to predict updated customer interest by multi-label machine learning models.
- Data Analysis
- Apply statistical models to define frequently repurchased items to support the company's future strategy.
- Lead summer interns to complete the project on discount usage and form a coupon strategy which could increase revenue.
- Data Engineer
- Develop automatically updated ETLs by AirFlow, Oracle/Sqoop/HiveSQL or GCP(Cloud Storage, Compute Engine, BigQuery) to ensure comprehensive data collection and robust, updated database.
- Build up analytical database by Spark from Hadoop service.
Data Science intern
TransGlobe Life Insurance
August 2020 - February 2021
Taipei, Taiwan
Establish Python Machine Learning models and obtain databases by SAS and SQL to predict high potential customers for agents. Increase agents' sales rate by a factor of three
Skills
Python
Scikit-Learn, TensorFlow
Apache Software
Spark, Hadoop, Airflow, Sqoop, Hue, Hive
Others
SQL, Bash/Shell, SAS, R, C++, GCP
Quantitative ML/DL Side Projects
Kernel Ridge Regression
Predict stock price by KRR with 0.8% RMSE. Adjust model by top 10 error cases
Text Classification
Construct a 70% accurate classifier by Logistic Regression, Natural Language Process to identify 200 corpuses
Digital Recogniser
Apply K-Nearest-Neighbor, Support Vector Machine, PCA to identify tons of digits with 81% accuracy
Deep Learning
Forecast stock price with 1.3% RMSE by using Auto Encoder technique, MLP predictor. Seek out the importance of each input and improve the algorithm
Sam (Hsien-Hao) Hsu
Recently, a Data Engineer in a project-oriented team at PChome Online. Formerly a Data Science intern at an insurance company, DHL Express PM intern, Nepal volunteer, Dance Club instructor, theater assistant in college. My diverse background builds up my personality, such as self-motivating, problem-solving, enjoying challenge, leadership and analytical thinking.
Taipei City, Taiwan +886952292118 [email protected]
Education
University of Houston
Master of Science in Statistics and Data Science • 2019 - 2020
Related Courses: Data Visualization, Data Mining, Deep learning, Neural Network, BigData Analytics
University of Connecticut
Exchange Program • 2018 - 2019
Related Courses: Project Management, Algorithms, Manufacturing Engineering, Business Analysis
National Chengchi University
Bachelor of Science in Mathematical Science • 2014 - 2018
Related Courses: Data Structures, Numerical Analysis, Operation Research, Optimization Theory
Work Experience
Data Engineer
PChome Online
March 2021 - Present
Taipei, Taiwan
- Data Science
- Design segment marketing tags for members by purchase and browsing history. Predict the next customer's purchase by time series model.
- Utilize campaign data to predict updated customer interest by multi-label machine learning models.
- Data Analysis
- Apply statistical models to define frequently repurchased items to support the company's future strategy.
- Lead summer interns to complete the project on discount usage and form a coupon strategy which could increase revenue.
- Data Engineer
- Develop automatically updated ETLs by AirFlow, Oracle/Sqoop/HiveSQL or GCP(Cloud Storage, Compute Engine, BigQuery) to ensure comprehensive data collection and robust, updated database.
- Build up analytical database by Spark from Hadoop service.
Data Science intern
TransGlobe Life Insurance
August 2020 - February 2021
Taipei, Taiwan
Establish Python Machine Learning models and obtain databases by SAS and SQL to predict high potential customers for agents. Increase agents' sales rate by a factor of three
Skills
Python
Scikit-Learn, TensorFlow
Apache Software
Spark, Hadoop, Airflow, Sqoop, Hue, Hive
Others
SQL, Bash/Shell, SAS, R, C++, GCP
Quantitative ML/DL Side Projects
Kernel Ridge Regression
Predict stock price by KRR with 0.8% RMSE. Adjust model by top 10 error cases
Text Classification
Construct a 70% accurate classifier by Logistic Regression, Natural Language Process to identify 200 corpuses
Digital Recogniser
Apply K-Nearest-Neighbor, Support Vector Machine, PCA to identify tons of digits with 81% accuracy
Deep Learning
Forecast stock price with 1.3% RMSE by using Auto Encoder technique, MLP predictor. Seek out the importance of each input and improve the algorithm