Hello There!
Hi! I'm Xiyuan Wu, Computer Science student at the University of California, Riverside, currently exploring various job opportunities. My interests are in the AI and machine learning fields, so I've taken several courses outside of school, covering everything from basic data analysis to advanced machine learning and deep learning. These courses have given me a theoretical foundation, preparing me to explore deeper into the field. Feel free to reach out and connect with me, and I invite you to explore my website into my journey!
- Location Riverside, CA
- Email xwu136@gmail.com
- Website www.xwu136.com
- LinkedIn in/xiyuan-wu
- Github XiyuanWu
Education
-
Sept 2022 - Jun 2026
University of California, Riverside
Bachelor of Science in Computer ScienceRelevant Coursework: Data Structure and Algorithm, Database Management Systems, AI & Machine Learning
Experience
-
Jul 2024 – Aug 2024
Lawrence Livermore National Laboratory
Data Science ResearchConstructed a low-cost, machine learning-based approach to detect life-threatening cardiac arrhythmias, evaluating its feasibility using both non-invasive signals from ECG data and simulations of internal cardiac activity.
Addressed class imbalance in the dataset using SMOTE and undersampling, then applied ensemble methods and tree based models, achieving 97% accuracy with 91% average recall rate in arrhythmia classification.
Predicted internal cardiac activation times at 75 myocardial locations using CNN (loss of 2 ms), and subsequently applied an LSTM (loss of 7 ms) to reconstruct the entire transmembrane potential curve.
-
Feb 2024 – May 2024
Data Glacier
Data Science InternConducted market analysis of taxi industry by performing statistical analysis of market penetration, profitability, and demographic data, using hypothesis testing to identify profitable expansion opportunities and operational inefficiencies.
Operationalized a predictive model via Flask API locally, and containerized it with Docker for API deployment on GCP.
Built and evaluated an end-to-end project using bank marketing data to predict customer subscription outcomes, covering the full cycle from EDA to comparative ML analysis - achieved 91% accuracy and identified call duration and demographics as key drivers of subscription behavior.
Activity
-
Mar 2024 - Dec 2024
ACM@UCR
Web DeveloperDeveloped static websites for UCR student organizations using Tailwind CSS.
Collaborated in a team of 9 developers, attending weekly scrum meetings to align on project goals, troubleshoot design challenges, and enhance team coordination.
Skills
Programming
-
Python(Pandas, Seaborn, Scikit-Learn, TensorFlow, PyTorch), C++, SQL, HTML, CSS, Twinwind CSS
Dev Tools
-
VSCode, Git/Github, Make/CMake, Jupyter Notebook, Google Cloud Platform, Flask, Node.js, Next.js, React, Npm, Prettier, EsLint
Certifications
-
Nov 2024
Deep Learning Specialization
Completed a series of courses focused on neural networks, convolutional networks, and sequence models.
-
Jan 2024
Google Advanced Data Analytics Specialization
Completed a series of courses focused on data visualization, machine learning, and statistical analysis.
-
Dec 2023
Google Data Analytics Specialization
Completed a series of courses introduce the principles of data analysis, data cleaning, and data visualization.
-
Oct 2021
Application of Python
Completed a series of courses in Python applications, covering topics from data handling and AI to creative tools and web development.
Hello! This is my new website. It’s clearer, concise, and more organized, and it can get information very easily. However, there is an older version available that contains more information. If you have time, feel free to check them out!
Get in touch
Feel free to contact me at email~
- xwu136@gmail.com
- in/xiyuan-wu
- XiyuanWu