Zi Wang

Technical Project Manager at TuSimple
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Contact Information
us****@****om
(386) 825-5501
Location
San Diego, California, United States, US

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Credentials

  • Google Project Management
    Coursera
    Oct, 2022
    - Nov, 2024
  • Learning Java
    LinkedIn
    Sep, 2022
    - Nov, 2024
  • Project Execution: Running the Project
    Coursera
    Sep, 2022
    - Nov, 2024
  • Project Planning: Putting It All Together
    Coursera
    Sep, 2022
    - Nov, 2024
  • Foundations of Project Management
    Coursera
    Aug, 2022
    - Nov, 2024
  • Project Initiation: Starting a Successful Project
    Coursera
    Aug, 2022
    - Nov, 2024
  • Scrum Master Certification: Scrum Methodologies
    Coursera
    Aug, 2022
    - Nov, 2024
  • Using SQL String Functions to Clean Data
    Coursera
    Aug, 2021
    - Nov, 2024
  • Apache Spark Essential Training
    LinkedIn
    Jul, 2021
    - Nov, 2024
  • Machine Learning
    Coursera
    Jul, 2021
    - Nov, 2024
  • Python Data Structures
    Coursera
    Jul, 2021
    - Nov, 2024
  • Master of Science Business Intelligence and Analytics
    Stevens Institute of Technology
    Jun, 2021
    - Nov, 2024
  • Statistics Foundations: Probability
    LinkedIn
    Jun, 2021
    - Nov, 2024
  • Statistics Foundations: The Basics
    LinkedIn
    Jun, 2021
    - Nov, 2024
  • Advanced SQL for Data Scientists
    LinkedIn
    May, 2021
    - Nov, 2024
  • NoSQL Data Modeling Essential Training
    LinkedIn
    May, 2021
    - Nov, 2024
  • Mircosoft DAT204x: Introduction to R for Data Science
    edX
    Sep, 2019
    - Nov, 2024
  • Microsoft DAT208x: Introduction to Python for Data Science
    edX
    Aug, 2019
    - Nov, 2024
  • Programming for Everybody (Getting Started with Python)
    Coursera
    Feb, 2019
    - Nov, 2024

Experience

  • TuSimple
    • United States
    • Software Development
    • 400 - 500 Employee
    • Technical Project Manager
      • Jan 2022 - Present

      Program Manager Role • Maximized efficient execution with cross-functional communication, information integration, external buffer, internal prioritization • Broke down upstream machine learning program-level goals into 10+ team’s OKR, clear milestones, and development plan quarterly • Supported the annotation service based on Airflow, MongoDB, PostgreSQL, and Looker Analysis with 50+ Data and SDE engineers • Drove the execution of labeling service by operation data to make decision, using Python, SQL, JIRA, and 3 large scale databases • Coordinated as team interface and buffer to manage the dependencies between 10+ projects daily and negotiated trade-offs • Managed timelines, tracked progress, kept diverse teams informed of milestone and unblock obstacle in 95% milestone achieved • Collaborate with 4 departments’ stakeholders to triage scenarios where algorithms were challenged and scenarios that can be improved Project Manager Role • Managed all aspects of the project cycle from identifying requirements, initial project, making plan, executing tasks, and closing the project • Acted as Scrum master to setup Agile Sprint and added risk identification, procedure analysis with 85% Service Available Rate • Identified process inefficiencies and improved workflows with 50% deliverables increase in three months period • Created project proposal and project documentation to ensure project delivery on time, within the scope and within budget Product Manager Role • Designed annotation ontology with upstream and downstream engineers, considering the precision and recall implications • Gathered demands with tech leads and PMs in a cross-functional team including image perception, lidar, fusion, and tracking • Converted requirements with stakeholders into software design doc, feature projects, prototypes, and final deliverables • Improved annotation service with interface definition, process-driven design, standard template, and feature requests prioritization Show less

  • Microsoft
    • United States
    • Software Development
    • 700 & Above Employee
    • Data Engineer Intern
      • Sep 2021 - Jan 2022

      • Built automation and serverless data pipeline from Dynamic 365 to Azure SQL database with python, Azure Automation and SQL • Extracted data from REST API, transformed from JSON structure to SQL-Table structure, and loaded into Cloud SQL Server • Utilized requests to get data from API, pandas to convert data structure, pyodbc to connect, create and write SQL Server database • Integrated Power BI and Power Automate together to present visualization plots and email alerts to stockholders automatically • Wrote SCOPE (big data query) to process data analytic tickets from stockholders on Azure Analytics and Cosmos platform • Finalized development documents/tutorial, packaged python scripts into an open-source library, and published on GitHub Show less

  • Seabridge Fintech
    • Westport, Connecticut, United States
    • System Architect Intern
      • Jun 2021 - Jul 2021

      • Constructed full-stacked system from back-end MongoDB and Node.js, to front-end Adalo and Bubble, and published Appstore • Designed workflows, dataflows, test process, data layout, access authorization, system backup policies, and security configurations • Developed REST API (full function) by Node.js (JavaScript and Express) to connect with MongoDB and other platforms • Communicated with stakeholders and developers to identify the requirements and monitored Agile software development on Jira • Analyzed customer behavior by A/B test, maintained task priority and documentation, and coordinated developers’ resources Show less

  • Stevens Institute of Technology
    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Assistant
      • Oct 2019 - May 2021

      SKILLS Python (TenserFlow, Keras for Neural Network, Scikit-Learn), R (Tidyverse, igraph), SQL (Postgresql), Tableau and Excel (Linear Model), GitHub (Bash) Relevant Coursework Optimization Analytics (Excel), Multivariate Data Analysis (Regression/PCA/AUC), Social Network Analysis(Graph Theory and Map Reduce), Database(SQL), Machine Learning(Math foundation), Deep Learning(CNN/RNN), Web Mining(NLTK / Gensim) SKILLS Python (TenserFlow, Keras for Neural Network, Scikit-Learn), R (Tidyverse, igraph), SQL (Postgresql), Tableau and Excel (Linear Model), GitHub (Bash) Relevant Coursework Optimization Analytics (Excel), Multivariate Data Analysis (Regression/PCA/AUC), Social Network Analysis(Graph Theory and Map Reduce), Database(SQL), Machine Learning(Math foundation), Deep Learning(CNN/RNN), Web Mining(NLTK / Gensim)

  • ITR (IT Resources)
    • China
    • Information Technology & Services
    • 1 - 100 Employee
    • Project Manager
      • Jul 2014 - Jul 2018

      • Led sales, supply chain, and engineer teams, total of 20 members, to deliver end to end SaaS or IT construction solutions • Created 0.5-million-dollar profit in 2017 and award best employee and team in the luxury hotel and shopping mall industry • Evaluated the risk of technical, development, law, and resources and controlled the risk scope under budget and milestones • Prepared and updated hardware and software development project plans, deliverable times, and milestones with Microsoft Project • Controlled project life cycle from biding, budget & cost plan, resource coordinate, project implement, and final acceptance • Implemented first shopping mail data analysis case in Beijing. Performed analysis based on locations, movement trails and customer behaviors of individual customers and generated reports about sales predication, sales influence factors, customer flow paths, and so on. Analysis results helped mall managers set prices, choose brands and propel renovation seasonally. • Distributed implementation team members at different locations in northern China to maximize resource utilization and promoted productivity of each individual project while maintaining a healthy, positive team culture. • Monitored project process through daily email reports and reported annual task schedule to COO and Shanghai brunch to facilitate information communication from the project to supervisors and customers. • Involved in sales section and budget accounting section directly with customers particularly. Leaders of other departments found cooperation with our team increase revenue for company. Show less

  • Dayang Technology Development Inc
    • 1 - 100 Employee
    • System Engineer
      • 2012 - 2014

      • Built an IT system applied in TV station, specifically including TV broadcast, edit, media and studio system • Constructed an integrated TV station system based on C++ and html software on Oracle 9i database. Used IBM tape library, SUN midrange computer, EMC storage and Cisco network to build • Conducted construction of $3M IT system for three hundred employees. I solved a data loss crisis involving five different companies, preventing loss of reputation and profit of company. • Optimized and established a training system and founded a sustainable Operations and Maintenances criterion to recruit and train O&M team to achieve customers’ satisfaction. Managed customers, vendors, and internal staff keeping project deliverables efficiently on time, on the scope, and budget • Troubleshot Linux/Windows servers, router/switch, and storage with commands and scripts to debug data center system errors • Maintained technical drawings, like network diagrams, software flowcharts, architecture diagrams and presented them at meetings Show less

Education

  • Stevens Institute of Technology
    Master of Science - MS, Business Intelligence & Analytic
    2019 - 2021
  • Beijing University of Chemical Technology
    Bachelor's degree, Electrical and Electronics Engineering
    2008 - 2012

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