Szeling (Annie) Hsu
About Szeling (Annie) Hsu
Annie Hsu is a Data Science Research Associate at Axle Informatics, with a strong background in software engineering and healthcare data. She holds a professional certification in Data Science and has extensive experience in programming, data visualization, and machine learning techniques.
Work at Axle Informatics
Szeling Hsu currently serves as a Data Science Research Associate at Axle Informatics, a position she has held since 2022. Located in North Bethesda, Maryland, she contributes to various data science initiatives within the organization. Her role involves applying her extensive knowledge in data science and software engineering to support projects that leverage healthcare data.
Education and Expertise
Szeling Hsu has a solid educational background in engineering and data science. She earned a Master of Science in Electrical, Electronics, and Communications Engineering from Johns Hopkins Whiting School of Engineering, completing her studies from 2002 to 2004. Prior to that, she obtained a Bachelor of Science in Electrical and Electronics Engineering from the University of Maryland, studying from 1992 to 1996. In 2021, she completed the Data Science Career Track at Springboard, which enhanced her data science skills.
Professional Experience
Before her current role, Szeling Hsu gained valuable experience in the technology sector. She worked as a DSP Software Engineer II at Raytheon Missiles & Defense from 1997 to 2000. Following that, she held the position of DSP Firmware Engineer at Lucent Technologies for five years, from 2000 to 2005. These roles provided her with a strong foundation in software engineering and data processing.
Technical Skills and Certifications
Szeling Hsu possesses a professional certification in Data Science, which complements her technical skills. She is proficient in several programming languages, including Python, SQL, C, C++, Assembly, and FORTRAN. Her expertise extends to data visualization tools such as Matplotlib, Seaborn, Plotly, Tableau, Power BI, and Microsoft Excel. Additionally, she is skilled in various machine learning techniques, including Hypothesis Testing, A/B Testing, and Neural Networks.
GitHub Portfolio and Community Engagement
Szeling Hsu actively maintains a GitHub portfolio where she showcases her data science projects. This platform allows her to demonstrate her skills and engage with the data science community. She expresses an interest in connecting with other data scientists for mentorship and knowledge exchange, highlighting her commitment to continuous learning and professional development.