Tracy Zhang

917-***-**** • ad2i3z@r.postjobfree.com • linkedin.com/in/tracy-zhang-b17158214/ • github.com/Ceiceiceii EDUCATION

New York University Expected May 2024

B.A. Double Majors: Data Science and Computer Science

• Relevant Coursework: Agile Software Engineering, Web Development, Data Structures & Algorithms, Computer System Organization, Data Management and Analysis, Machine Learning, Natural Language Processing, Causal Inference SKILLS

Programming: Python, JavaScript, Java, C/C++, MATLAB, SQL, HTML, CSS, TypeScript, Git, GitLab, Swift, PHP, R Frameworks/Libraries: Rest API, React.JS, Node.JS, React Native, Spring Boot, Spring Data REST Data Management/ Analysis: NumPy, Pandas, R-Studio, MongoDB, SPSS, MySQL, Postgres, PostgresSQL, Tableau, Spring Cloud, Spring Data, AWS

WORK EXPERIENCE

Nomikos Feb 2023 – Present

Full Stack Software Engineer New York, NY

• Build and Launched the product "Sarmiza" (apps.apple.com/us/app/sarmiza/id6447767254 ) provide support for state tax filing service, on iOS APP store and Android Google Play, with 400+ active users, handling over 1000+ live location data from users

• Developed Location Tracking Function and One Time Password User Authentication using React Native, and ensuring privacy prompts for both iOS and Android platform

• Developed Next.JS API on Vercel which processes global location tracking data and updates Postgres database (Supabase)

• Using JavaScript (Node.JS), developed automatic backend alert functions support the state tax filing function

• Designed overall concept, layout, and product pages of phone application to ensure a user-friendly interface using CSS, TypeScript, and JavaScript

New York University Jul 2023 – Present

Project Assistant - Lab of Developing Mind New York, NY

• Conducting daily functions maintenance and update of NYU LabofDevelopingMind and BabyChildTeen Database, total more than 10,000+ data, using Spring Boot, Spring Data, Spring Data REST and Spring Cloud

• Spearheaded data preprocessing tasks, encompassing data cleaning, file merging, redundancy reduction, and preliminary visualization, using Python, Pandas, and NumPy, to facilitate ongoing research projects

• Use R-Studio to analyze the reliability of encoded data from experimenter and other research assistants Jaguar Land Rover (North America) Sep 2022 - Feb 2023 Network Development Intern Mahwah, NJ

• Created an interactive project tracking system on Tableau that automatically sends reminders to retail managers and allows live tracking all projects’ statuses

• Upgraded internal Tableau Server, by creating shortcuts, implementing search function & eliminating overhead by developing a new dashboard with CSS that consolidated and streamlined redundant data in the Network Department

• Utilizing PHP knowledge to capture and secure input from users/managers and interacting with MySQL database to create a North American wide dynamic sales/franchise record search web application PROJECTS

Sandbox analysis of COVID data - Winning Team @ NYU DSC x WiDS Datathon May 2023

• Leveraged the "Well-Being and Basic Needs Survey," dataset, applied data filtering techniques to identify pertinent variables from the dataset, and analyzed over 7000 entries and 400 variables by Python

• Utilized K-Means clustering (Unsupervised Learning) and 3-D DBSCAN to gain insights into the distribution of COVID pandemic population concerning critical societal issues Promo Code Verification March 2023

• Developed a RESTful API with JSON which can be used by application across a system using Spring Boot and Spring Data

• Used Git for version control and IntelliJ IDE for development of the web app

• Implemented AWS solutions using EC2, DynamoDB, Elastic Load Balancer & Auto scaling groups Management Training Game - Best First-Time Hacker Award @ NYU Hackathon 2023 Feb 2023

• Developed a game with Python that addresses workplace gender bias by asking the player to assign tasks to different employees and writing feedback

• Integrated NLP (Natural Language Processing) sentiment analysis model (PyTorch) to evaluate the likelihood of bias in feedback wording, the result reaches an 96% accurate testing rate Product Recommendation System @ NYU DSC x Peak Datathon Nov 2022

• Integrated NLP techniques in TensorFlow (Python) for new product categorization and classification, leading to a re- purchase rate of 80%

• Delivered personalized product recommendations and shopper habits analysis by incorporated PCA dimension reduction

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