Software Engineering Data Analyst

Jenny L.

773-***-**** ******@********.*** Chicago.IL

EDUCATION

University of Chicago IL, U.S.

Master of Science in Computer Science Sep.2023 – Mar.2025(expected) Tongji University (GPA: 91/100) Shanghai, China

Bachelor of Economics in Finance Sep.2019 – Jun.2023 Minor in Software Engineering Sep.2021 – Jun.2023

SKILLS

Programming Languages: Java, Python, C++, C, C#, SQL, R, JavaScript, HTML, MATLAB, Dart,, Solidity CSS, Frameworks & Tools: Spring Boot, Django, React, Vue.js, C/S, MySQL, Redis, MongoDB, Junit, Maven, DevOps, Hadoop, MyBatis, MongoDB Elasticsearch,OpenSearch,ApaCassandra,NoSQL,Mockito,Gradle,MapReduce,ActiveMQ,Kafka,Flutter Developer Tools: Git, AWS, IntelliJ IDEA, Android Studio, VS Code, Docker, Kubernetes, GCP, Firebase, Remix, CLion PROFESSIONAL EXPERIENCE

Software Development and Testing Intern Hundsun July.2022 – Sep.2022

• Analyzed the software requirements from a testing perspective covering functional, non-functional, and structural aspects and developed detailed test cases to achieve 90% coding coverage increase with relevant data collection.

• Automated the testing process using Junit testing frameworks and performed testing execution on the asset management platform.

• Validated SQL script logic flow and actual execution, and investigated transmission parameter value errors using the F12 interface on the frontend page.

• Implemented logging events to record system and environment running states and identified, reported and fixed 30+ potential and existing bugs to improve system reliability, successfully upgrading pkg with Jenkins. Data Analyst Intern Dynamic Technology Lab Aug.2021 – Oct.2021

• Utilized MySQL and Python for data cleansing, processing, and querying of ten thousand rows of foundry industry chain data.

• Employed DataGrip for advanced data plotting, enabling stock price analysis and forecasting.

• Investigated financial statement disclosure standards across Asia and Europe, leveraging exchange disclosure information to predict stock price movements with 78% accuracy.

PROJECT EXPERIENCE

Experimental Teaching System Sep.2022 – Jan.2023

(Full Stack Website)

• Led the design and development of a microservices experimental teaching system using mainly Spring Boot, React, JavaScript, and CSS.

• Designed and built relational database schema using MongoDB to persist, manage and process data of users, experiments, assignments, grades, etc.

• Implemented Nginx for server load balancing, Webpack for module packaging.

• Managed the source code version with GitHub and containerized the system with Docker for efficient packaging and deployment.

• Spearheaded testing and debugging efforts, proactively identifying and reporting software bugs to maintain top-notch quality.

• Enhanced the message transmission efficiency by introducing RabbitMQ between microservice modules.

• Fostered close collaboration between front-end and back-end developers and monitored the project progress to ensure the deliverables on time.

Family Financial Database Management System Sep.2021 – Mar.2022

(Full Stack System, SQL Server)

• Designed and developed a full-stack database Leveraged a C/S architectural pattern; operated predominantly within the .NET framework following a C/S architectural pattern.

• Utilized SQL Server as the primary relational database management system, establishing a robust backend infrastructure with ADO.NET to ensure seamless interaction between the database and the application.

• Led testing efforts to identify and fix system bugs and implemented testing data visualizations with charts and statistical graphs. Web-based Task Management Application Sep.2020 – Sep.2021

(Full Stack Web Application, AWS)

• Developed a task management application using React and hosted the static React app on an S3 bucket.

• Implemented AWS Cognito for user management, registration, and login.

• Designed RESTful API endpoints using Express.js; created AWS Lambda functions accordingly.

• Containerized the backend using Docker and pushed the Docker image to Amazon ECR.

• Monitored the application using AWS CloudWatch, configuring alarms and analyzing logs on lambda functions and ECS containers.

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