Zhimin Liang *****.*****@************.*** 780-***-**** Vancouver, BC https://github.com/zhiminV KEY COMPETENCIES & SKILLS
Technical Qualifications:
C#, C++, Python, Tkinter, Matplotlib
React.js, Node.js, MySQL, IOS, Android
Deep learning: PyTorch, TensorFlow
Business Acumen and Analytical Storytelling:
Experienced developer proficient in Agile and Waterfall methodologies with a strong understanding of the System Development Life Cycle. Skilled at finding optimized solutions to complex problems and designing efficient database structures for scalable applications
EDUCATION
Financial Analysis Skills:
Risk Management
Investment Analysis
Variance Analysis
Financial Reporting
Risk-adjusted Return Analysis
Master of Science in Computer Science Jan 2023 – Aug 2024 Core Courses: Discrete Structures, Object-Oriented Design, Web Development, Fundamental Cloud Computing, Algorithm Northeastern University, Boston, MA, USA
Bachelor of Finance Sep 2018 – Dec 2022
Core Courses: Financial Economics, Information Management Systems, International Financial Markets, Fixed Income, Risk Management University of Alberta, Edmonton, AB, Canada
PROFESSIONAL EXPERIENCE
Graduate Teaching Assistant Jan 2024 – Apr 2024
Northeastern University, Boston, MA, USA Sep 2024 – Dec 2024
Assisted students in full-stack web development, guiding them through front-end design, back-end database integration, and deployment
Provided troubleshooting support and helped students debug and optimize their code for web applications
Mentored graduate students in Human-Computer Interaction (HCI), focusing on UI/UX design principles and user-centered design
Supported prototyping efforts using Figma and led usability evaluation sessions, fostering critical thinking and application of design concepts in team-based projects
Project Management Associate May 2021 – Jul 2021
Accenture, Beijing, China
Led project teams using Agile methodology, ensuring efficient delivery of high-quality software products while maintaining continuous stakeholder communication and collaboration
Managed the software development lifecycle (SDLC), from planning through deployment, ensuring adherence to timelines, scope, and quality standards, through effective and proactive communication between business users and developers
Utilized tools such as Agile Boards, Confluence, and Microsoft Azure Cloud to streamline project tracking, documentation, and collaboration across cross-functional teams
Facilitated sprint planning, daily stand-ups, and retrospectives to drive progress, identify blockers, and implement improvements in performance Database QA Engineer Intern May 2020 – Jul 2020
Everbright Bank, Beijing, China
Participated in designing an order submission system using TypeScript (front end), Node.js with Java, MySQL (back end), handling real-time updates and synchronization between the server and end devices, leading to a 30% increase in user engagement within three months of launch
Developed the product database using Node.js and Express.js for the backend and Redis for caching, alongside MySQL for database storage, implementing RESTful APIs to handle transaction pull receipt updates, and transaction processing
Structured and deployed the MySQL database schema to store client information, and transaction detail records, establishing user authentication and authorization by using JSON Web Tokens for secure access to user-specific features and data
Managed the software development lifecycle (SDLC), from planning through deployment, ensuring adherence to timelines, scope, and quality standards, through effective and proactive communication between business users and developers PROJECT & EXTRACURRICULAR ACTIVITY
Database Management Project: Olympic Data Analysis & Visualization
Designed an OLAP star-schema database in SQLite, importing and cleaning historical Olympic data to enable analysis of gender participation trends and country representation
Executed SQL queries and visualized data in PowerBI to reveal insights, including the rise in female athlete participation and increased medal diversity
Bank Marketing Prediction Model
Conducted data cleaning and pre-processing raw data by removing redundant columns, performing data scaling, encoding categorical variables and ensuring balanced class distribution
Built and evaluated four models using different algorithms: Decision Tree, Random Forest, Naive Bayes, and K-Nearest Neighbors
Defined evaluation metrics, including Accuracy, Precision, Recall, F1 Score, Cohen Kappa Score, and AUC
Tuned hyperparameters using GridSearch to improve performance, saved prediction outputs and the optimized model for reusability and deployment WeShare Mobile Application
Built a cross-platform social media app with React Native, providing seamless UI/UX for iOS and Android platforms
Integrated real-time location services, notifications, and Firebase authentication, ensuring scalability and security Online Drink Shop
Developed a secure and responsive full-stack web application with React.js and Node.js, including user authentication via Auth0
Optimized backend performance with a scalable MySQL database schema, ensuring smooth API integration and performance