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
