SQL,REST API, Java, JavaScript, DOM, Node.js, express.js, MongoDB

Sizhuo(Alice) Zhang

650-***-**** **********@*****.*** linkedin

Education

Stanford University Stanford, CA

M.S. in Environmental Engineering focusing on software-based simulation Sept. 2018 – June. 2020 Related courses: Web Applications, Object-Oriented Design, Database, Algorithm, Natural Language Processing etc. Shandong University Jinan, China

B.S. in Environmental Engineering Sept. 2014 – June. 2018 Work Experience

Investment Intern Sept. 2020 – Present

Fosun RZ Capital Menlo Park, CA

• Maintained valuation models to make predictions for IRR and enterprise profits to qualify investment opportunities

• Built data visualization tools in Matplotlib for investment-related data analysis

• Assisted with ad-hoc projects in the area of SaaS, big data, cloud, autonomous driving, robotics, etc Projects

Mini-Instagram – A Full Stack Project with Django Python, Javascript Oct.2018 - Nov.2018

• Built up a RESTful web application for users to create/update/delete posts and interact with others

• Integrated responsive front-end user interface using JavaScript/CSS/HTML/Font Awesome/and Bootstrap, with back-end micro-service engine using python/Django, and database using SQLite

• Fulfilled user authentication and authorization with Django, developed Like/Comment, Follow/Unfollow, and activity feeds with AJAX, DOM, and JavaScript

• Containerized as a micro-service and deployed to public cloud service Heroku Yelpcamp Web Application Javascript, Node.js. Bootstrap, MongoDB Oct.2018 - Dec.2018

• Developed a RESTful web application called Yelpcamp for users to post travel destination, add/edit comments

• Utilized MongoDB as database to create, delete or edit users’ comments and reviews of campground

• Implemented responsive front-end with Javascript, with MongoDB, Express framework, and Node.js as back-end

• Fulfilled user authentication and authorization with Passport.js, and location display using Google Maps API Compressed QANet for Question Answering Python, Pytorch Feb.2020 - Mar.2020

• Implemented QANet, a deep CNN model, with PyTorch for Question Answering task on SQuAD2.0

• Used GloVe word-level embedding and self-implemented char-level embedding for efficient data loading and representation in both word and char-level

• Developed depth wise convolutions and multi-head attention to improve memory efficiency and information retrieval

• Achieved 68.2 and 64.7 in F1 and EM score before data pruning, compared with 58 and 55 using baseline BiDAF Bunny World Android Application Java, SQLite Feb.2019 - Mar.2019

• Developed an Android adventure game app that enables users to play, create, edit, and save previous games

• Implemented a graphical, document-oriented, and OOP/GUI editor for the adventure game

• Front-end is implemented with XML and Android Studio, with Java and SQLite as back-end

• Stored and integrated users’ record of each round to implement local/worldwide ranking function Data Mining and Visualization On GCP Python, SQL Nov.2019 - Dec.2019

• Designed and implemented efficient queries to extract 300GB datasets on Chicago’s taxi trips count in parallel

• Trained data with binary logistic regression model to find correlation between features and trips count

• Built data visualization tools in Matplotlib and Altair for social network analysis

• Improved user behavior prediction by adding engineered features which show apparent links with daily trips count/tips in previous section to optimize and re-evaluate models, achieving increase from 53.79% to 97.28% in accuracy of trips count prediction

Technical Skills

Languages: Java, C++, Python, JavaScript, MATLAB

Web Development: HTML, CSS, React, Express.js, Node.js, Bootstrap, jQuery, DOM, Django Database: SQLite, MySQL, MongoDB

Tools&Platforms: PyTorch, GCP, Android Studio, Eclipse, Anaconda, Xcode, Qt Creator, IntelliJ

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