ÂÜÀòÂÒÂ×

Chester Hsieh has a diverse work experience in data engineering and data science roles. ChiHung(Chester) started their career as an Algorithm Developer at J-MEX, where they gained experience in C programming and developed an algorithm for tracking gym trainer exercises. ChiHung(Chester) then moved on to become a Graduate Student Research Assistant at the Illinois Institute of Technology and worked on projects involving social media analysis and text mining.

After completing their graduate studies, Chester joined Grid Dynamics as a Data Scientist. Here, they worked on various projects, including developing NLP to SQL models and testing different DL frameworks. ChiHung(Chester) also evaluated the value of additional content like user reviews and built industry-specific word embeddings based on the Home improvement forum.

Chester then joined Kuobrothers Corp as a Data Engineer. Here, they improved data analytics capabilities for CRM and Ad teams by implementing an ETL pipeline using Airflow. ChiHung(Chester) also increased recommendation system performance and improved product search service efficiency through system refactoring and implementation of the decorator pattern.

Currently, Chester is working as a Senior Data Engineer at ReSci (Retention Science). Their responsibilities include designing and developing scalable and flexible EDM services for e-commerce, utilizing serverless frameworks, and maintaining multiple language applications.

Throughout their career, Chester has demonstrated proficiency in using various tools and technologies such as Kinesis, SQS, Lambda, TypeScript, Ruby on Rails, Airflow, and pyspark. ChiHung(Chester) has a strong focus on high tolerance and reliability in their work and has delivered quick and reliable POC products.

ChiHung (Chester) Hsieh's education history includes a Master of Science degree in Computational Decision Science and Operations Research from the Illinois Institute of Technology, which they obtained from 2016 to 2018. Prior to that, they completed their Bachelor of Science degree in Engineering Science at the National Cheng Kung University from 2008 to 2012.

In addition to their formal education, Chester Hsieh has obtained several certifications and completed various courses. These include the "Building Chatbots in Python Course" from DataCamp, the "Cassandra Data Modeling Essential Training" from LinkedIn, and the "Data Analysis with Spreadsheets Course" from DataCamp, all obtained in August 2018. ChiHung(Chester) also completed the "Spreadsheet Basics Course" from DataCamp in August 2018.

Furthermore, Chester Hsieh has completed several online courses on Coursera, including the "Deep Learning Specialization," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," "Sequence Models," and "Structuring Machine Learning Projects," all completed in June and July 2018.

Additionally, they have completed the "Intro to SQL for Data Science," "Introduction to PySpark Course," and "Deep Learning in Python Course" from DataCamp in 2018 and 2017.

Chester Hsieh has also mentioned completing the "Introduction to R," "Kaggle Python Tutorial on Machine Learning," "Natural Language Processing Fundamentals in Python," "Network Analysis in Python (Part 1)," and "pandas Foundations" courses, although the specific dates of completion are not provided.