# Celeste Hsu

> Software Engineer

Location: San Jose, California, United States
Profile: https://flows.cv/celestehsu

I am a software engineer at Cardlytics, a leading data and analytics platform that helps marketers and banks understand and influence consumer spending. I have a master's degree in electrical and computer engineering from North Carolina State University, where I learned and applied various programming and data analysis skills, such as Python, Git, ETL, and machine learning.

At Cardlytics, I work with a team of talented engineers to design, develop, and maintain software solutions that enable the company to process and deliver high-quality data and insights to its clients. I use Python and AWS to create and optimize data pipelines, automate data acquisition and modification, and implement data quality checks and validations. I also leverage my previous experience as an intern at EY Analytics and a junior analyst at Fannie Mae, where I developed and implemented ETL algorithms, semantic analysis programs, and data migration tools, to enhance the performance and accuracy of the Cardlytics data platform. I am passionate about solving complex data problems and delivering value to the customers. I am always eager to learn new technologies and skills, and to collaborate with other engineers and stakeholders to achieve the best results. I believe I can bring diverse perspectives and experiences to the team, as I have a background in electrical engineering and have worked in different domains and regions.

## Work Experience
### Software Engineer @ Cardlytics
Jan 2022 – Present | Palo Alto, California, United States

### Junior Analyst @ Fannie Mae
Jan 2019 – Jan 2019
•  Implemented Python codes to automatically acquire and modified data files in the AWS Redshift, and reduced 70% of manual work in the Redshift process.
•  Developed python codes to modify clusters in the AWS Redshift.

### Intern @ EY Analytics (Asia-Pacific)
Jan 2018 – Jan 2018 | Taipei, Taiwan
• Designed extraction, transformation, and loading (ETL) algorithms to process data from an enterprise transactional system into the SAP Business Intelligence system
• Implemented a Chinese semantic analysis program using python to acquire the correct Chinese Phases. The result directly reduced 50% of manual works in the ETL process.
• Analyzed the accuracy of the data migrated from source systems to the Business Intelligence system

### Research Assistant @ Advanced Electro Measurement Technology Lab in Okayama University
Jan 2016 – Jan 2016 | Okayama, , Japan
•	Joined "Ion Sensing for Sensing Plate with Niobium Pentoxide Project"
•	Examined the sensitivity of regular chips and Nb2O5 chips using TCM, a chemical equipment, and observed voltage changes in THz when titrating standard solution at different pH concentrations
•	Analyzed and visualized the data from TCM using Origin, a graphic software, and produced schematic diagram to measure the effect of solution on chips

### Undergraduate Research Assistant @ Chang Gung University
Jan 2015 – Jan 2016 | Taoyuan County, Taiwan
Intel Super Low Voltage Chips Design Development	                                         
Research Assistant, advised by Prof. I-Chyn, Wei, VLSI Lab, Chang Gung University
•	Designed the digital circuits in subthreshold voltage with super-piplined method 
•	Enhanced the performane and reduced the delay of the circuits in subthreshold voltage


## Education
### Master of Science - MS in Electrical and Computer Engineering
North Carolina State University

### Bachelor's degree in Electrical Engineering
Chang Gung University

### High School Diploma
Taipei Fuhsing Private School


## Contact & Social
- LinkedIn: https://linkedin.com/in/celeste-hsu

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Source: https://flows.cv/celestehsu
JSON Resume: https://flows.cv/celestehsu/resume.json
Last updated: 2026-04-11