Hi! I am I-Hsuan Michael Hu 👋

Newly Gratuated Computer Science Student at Stevens Institute of Technology with practical experience in web applications, database management, and statistical analysis. Experienced in working with various technologies, including Linux, cloud services, and software development methodologies. Seeking full-time position in Backend, Full Stack, or Data Science.

About Me

Before pursuing a degree at Stevens, I was graduated from National Chung Hsing University with a master and bachelor degree of entomology. I have expertise in pesticides resistance, biomolecule techniques, and statistics. I spent a year at Ecolab as a Data Analyst. And now, I am expected to graduate in 2024 with an experience in backend, database and frontend.

Resume

Skills

Python, JavaScirpt, and Java are my most frequently used language. Besides, I also have knowledge of Linux, SQL, and web application.

Qualification

Computer Science, M.S.

Stevens Institute of Technology

Vice President of Taiwanese Graduate Student Association
Recipient of Graduate Student Fellowship

2022-2024

Entomology, M.S.

National Chung Hsing University

Vice President of Taiwanese Graduate Student Association

2018-2021

Entomology, B.S.

National Chung Hsing University

President of Entomology Student Association
Exchange student at Šiauliai University, Lithuania

2013-2017

Software Engineer Intern

JCN (IBM partner)

Developed function to modify and migrate SQL schemas from Teradata to IBM DB2, reducing task completion time from two days to just two hours (87% increase in efficiency), ensuring seamless data integration.
Utilized Trinity to build data pipelines on Red Hat Linux to configure data extraction, perform data transformations, and automate loading from Teradata to IBM DB2 for Hua Nan Bank.
Modified application code to ensure compatibility with IBM DB2’s SQL syntax and functionality. Tested and validated modified shell scripts to ensure correct access and operations.

2023

Project Assistance

National Chung Hsing University

Developed Python program to read Excel files containing data and allow selection of statistical methods such as Survival Analysis, Principal Component Analysis (PCA), and Generalized Linear Models (GLM). Generated charts and tables for academic publication purposes.
Streamlined the data processing workflow, significantly reducing time from data input to analysis and chart generation from three hours to thirty minutes, resulting in 83% improvement in processing speed.
Collaborated with external vendors on product development in pest control industry, providing insights and recommendations to accelerate the development and commercialization process.
Led lab students in designing and executing experiments properly, ensuring accurate data collection.

2022

Data Analyst

Ecolab Inc.

Used Python to analyze collected data from clients and generate insights. Extracted data from Excel, processed it using Probit Regression, Analysis of Variance (ANOVA), and Logistic Regression models, and then automated generated reports with data analysis results and tables.

2021