Anna Zhao

213-***-**** adwsw9@r.postjobfree.com https://www.linkedin.com/in/zhaoanna818/ https://github.com/annalovecode Education

University of Southern California Los Angeles, CA

Master of Science in Computer Science Jan 2021 – Expected May 2023 Shandong University of Finance and Economics Jinan, China Bachelor of Science in Information Management and Information Systems, Minor: Finance Sep 2016 –– Jun 2020 Experience

Shanghai Ranking Consultancy (ARWU) Aug 2020 - Sept 2020 Data Acquisition Engineer Shanghai, China

• Designed using Python BeautifulSoup and Requests to acquire data related to Beijing’s famous high school teachers’ education background.

• Leveraged Pandas to preprocess and transform raw data into structured and consistent data frames, enabling downstream data analysis and machine learning tasks.

• Implemented intuitive data visualization features, including line graphs and histograms, using Python Matplotlib and Plotly, resulting in a 10 percent growth in business investigation for the company. Handu E-Commerce Group Jun 2019 – Sept 2019

Machine Learning Engineer Jinan, China

• Conducted a thorough analysis of the clothing purchasing behavior of women under 25 using time series forecasting techniques.

• Employed various machine learning techniques, including ARIMA and Gradient Boosting, to create accurate forecasting models of future sales trends

• Utilized K-fold Cross Validation to improve the robustness and generalization ability of the models, achieving a high accuracy of 95 percent in predicting future sales. Inspur Group Jan 2018 – Mar 2018

Data Infrastructure Engineer Jinan, China

• Collaborated with cross-functional teams to identify and address database performance issues, and utilized tools such as SQL Profiler and Query Execution Plans to optimize and fine-tune SQL code by 20 percent.

• Collaborated with infrastructure teams to design and deploy database infrastructure in cloud environments AWS, and Google Cloud. Especially, utilized services DynamoDB to create scalable and high-performance database solutions.

• Developed custom Map Reduce jobs to process and analyze data stored in Hadoop Distributed File System

(HDFS), achieving significant performance improvements compared to traditional SQL based processing methods. Projects

Covid-19 Emulated Distributed File System Python flask, Vue3 Nov 2022 – Dec 2022

• Implemented partition-based map-reduce on data stored on different EDFS (MySQL, Firebase and MongoDB).

• Allowed for dynamic rendering of data on the client-side and leveraged the Vue3 composition API to manage component state and implement reactive behavior, reducing the need for manual DOM manipulation.

• Integrated Vuex and Vue Router, and provided state management and routing capabilities within the application.

Social Matching Service C++,UDP,TCP socket Nov 2021 – Dec 2021

• Conducted UDP and TCP socket and implemented a model of a social matching service where two clients issue a request for finding their compatibility. Dijkstra’s algorithm is employed to find the shortest distance of client name within a map.

Technical Skills

Languages: Java, Python, JavaScript, HTML/CSS, R, SQL, C, C++, Shell Frameworks and Libraries: Spring Boot, Spring Cloud, Vue.js, MyBatis, Redis, Axios Tools: Linux Command, MySQL, Git, REST APIs, Unity, AWS, Postman