Summary
Overview
Work History
Education
Skills
Timeline
Generic
Ruixing Lu

Ruixing Lu

Minneapolis,Minnesota

Summary

Computer science undergraduate proficient in Java and Python, possessing hands-on research experience in AI-driven data analysis and machine learning. Skilled in constructing and refining predictive models, cleansing and visualizing extensive datasets, and converting intricate findings into actionable insights. Demonstrated capability to collaborate on academic projects and publish results, showcasing both technical expertise and commitment to advancing data-centric AI solutions.

Overview

2
2
years of professional experience

Work History

Research Assistant

Dr. Xianghan Xu
Minneapolis, Minnesota
01.2025 - Current
  • Utilized precise data fitting to quantitatively illustrate changes in material’s magnetic susceptibility with temperature and extract key model parameters.
  • Provided data-driven solutions to support decision making.
  • Built visualizations that enabled users to quickly interpret results from complex analyses.

Lobby Manager Intern

Huzhou business Department of ICBC
Huzhou
12.2024 - 01.2025
  • Customer Service & Operational Support
    Facilitated customer flow by directing clients to appropriate service channels (counters, self-service terminals, or digital platforms), reducing wait times by 20%.
    Resolved routine inquiries (account opening, transfers, deposits/withdrawals) and trained customers on self-service tools (ATMs, mobile banking).
  • Lobby Operations & Compliance
    Maintained orderly lobby operations, managed customer queues, and escalated emergencies (equipment failures, disputes) to senior staff.
    Assisted clients with form completion and document verification, ensuring compliance with AML/KYC regulations.
  • Product Knowledge & Cross-functional Collaboration
    Supported promotional campaigns by distributing marketing materials and referring potential clients to relationship managers.
    Collaborated with teams to address ad hoc requests (event coordination, inventory management).
  • Data Management & Process Improvement
    Collected and analyzed customer feedback and complaints, contributing to service optimization initiatives.
    Tracked daily metrics (foot traffic, transaction types) to identify operational bottlenecks.

Research Project: AI-Driven Optimization of Cluste

WKU Faculty-Student Research Program
Wenzhou
09.2023 - 06.2024
  • Technical Innovation
    Redesigned clustering analysis algorithms using PCA (Principal Component Analysis) and entropy-based metrics, improving image classification accuracy by 18% in cat/dog recognition tasks.
    Developed a hybrid model integrating orthogonal basis decomposition and logistic regression, reducing computational complexity by 25% while maintaining 92% F1-score performance.
  • Publication & Recognition
    Authored and published peer-reviewed conference paper: "Optimized Image Classification Techniques: Comparing Orthogonal Basis and Logistic Regression with Entropy and PCA in Cat/Dog Recognition" (SPIE Digital Library, DOI: https://doi.org/10.1117/12.3050225).
    Presented findings to 150+ attendees at the 2024 International Conference on AI and Pattern Recognition.
  • Data Science & Collaboration
    Processed and analyzed 50,000+ image datasets (CIFAR-10 derivatives) using Python (scikit-learn, OpenCV) and SQL, implementing automated feature extraction pipelines.
    Collaborated with 4 interdisciplinary team members to validate statistical significance of improvements (p < 0.05) through rigorous hypothesis testing.
  • Operational Impact
    Streamlined clustering workflows by optimizing distance metric calculations (e.g., Mahalanobis, Euclidean), achieving 15% faster convergence in training cycles.
    Documented reproducible experimentation framework adopted by 3 subsequent research teams.

Teaching Assistant for Java Programming

Relic Wang (Previous WKU Lecturer)
Wenzhou
09.2023 - 01.2024
  • Instructional Support & Curriculum Delivery
    Assisted in teaching core Java programming concepts(e.g., OOP, data structures, exception handling) through lectures, labs, and interactive coding sessions for 50+ students.
    Designed and debugged practice exercises and projectsto reinforce topics like loops, arrays, and inheritance, improving students’ coding proficiency.
  • Student Mentorship & Feedback
    Conducted weekly office hours to provide one-on-one troubleshooting support, resolving errors in student code (e.g., logic flaws, syntax issues).
    Collaborated with the professor to evaluate assignments and exams, ensuring alignment with learning objectives.
    Received 4.8/5.0 student satisfaction rating for clarity in explanations and approachability.
  • Technical & Collaborative Contributions
    Developed supplementary teaching materials, including visual diagrams for complex topics (e.g., polymorphism, multithreading).
    Utilized tools like IntelliJ IDEA, Eclipse, and GitHub Classroom to demonstrate version control and IDE best practices.
    Partnered with faculty to refine lab workflows, reducing grading turnaround time by 25%.

Education

Bachelor of Science - Computer Science

University of Minnesota Twin City
Minneapolis, MN
05-2026

Bachelor of Science - Computer Science

Wenzhou-Kean University
Wenzhou
05-2024

Skills

Technical skills Domain Expertise Soft Skills

Programming and Algorithms

  • Languages: Java, Python, OCaml, R, SQL
  • Data Structures & Algorithms: Proficient in graph traversal, dynamic programming, and optimization techniques (eg, LeetCode/HackerRank practice)
  • Machine Learning:
    Supervised Learning: Linear/Logistic Regression, Decision Trees, CNN (CIFAR-10/ImageNet derivatives)
    Unsupervised Learning: PCA, Clustering (K-Means, DBSCAN), Entropy-based Metrics
    NLP/LLM: Text classification, sentiment analysis (BERT/Transformers)
  • Tools: Pandas, NumPy, scikit-learn, OpenCV, MATLAB, Git

Data Analysis & Visualization

  • Advanced statistical methods: Hypothesis Testing (t-tests, ANOVA), Regression Analysis
  • Image Processing: Feature extraction, classification accuracy optimization (18% improvement in cat/dog recognition)
  • Visualization: Excel, Matplotlib, Seaborn
  • Big Data: Processed 50k image datasets using Python/SQL pipelines

Systems & Development

  • Linux System Programming: Bash scripting, process management
  • IDE/Tools: IntelliJ IDEA, Eclipse, Jupyter Notebook

Finance & Risk Management

  • Portfolio Theory: Applied Modern Portfolio Theory (MPT) to optimize investment strategies (40% ROI in personal trading)
  • Banking Operations: AML/KYC compliance, client segmentation, loan product promotion (ICBC internship)
  • Fintech: Payment systems, credit risk modeling

Research & Collaboration

  • Published peer-reviewed paper on AI-driven image classification (SPIE Digital Library)
  • Current Research: Magnetic materials data analysis with Dr Xianghan Xu’s team
  • Teaching & Mentorship:
    Trained 50 students in Java programming (48/50 satisfaction)
    Resolved 100 coding errors during office hours
  • Leadership: Led 25-member sports team to 2 podium finishes (15% performance)
  • Cross-functional Collaboration: Coordinated academic events for 300 attendees (25% satisfaction improvement)

Timeline

Research Assistant

Dr. Xianghan Xu
01.2025 - Current

Lobby Manager Intern

Huzhou business Department of ICBC
12.2024 - 01.2025

Research Project: AI-Driven Optimization of Cluste

WKU Faculty-Student Research Program
09.2023 - 06.2024

Teaching Assistant for Java Programming

Relic Wang (Previous WKU Lecturer)
09.2023 - 01.2024

Bachelor of Science - Computer Science

University of Minnesota Twin City

Bachelor of Science - Computer Science

Wenzhou-Kean University

Similar Profiles

CREATE PROFILE
Ruixing Lu