Jing Su

1. Developed AI-Driven Product Tagging and Categorization System Implemented AI-Driven Product Tagging using OpenAI API, leveraging embedding models and assistant tools to categorize and tag thousands of products automatically. 2. Built a Complete Data Vectorization and Uploading System Engineered a full data vectorization pipeline that transformed raw product data into vector embeddings for downstream applications like recommendation engines and search algorithms. Designed the schema for data storage in AWS DynamoDB, ensuring optimized read/write performance and scalability. Integrated Redis as a fast, in-memory database for vector storage and retrieval, reducing query times and improving the overall responsiveness of recommendation and search functionalities. 3. Developed a Full Web Scraping & Data Mining Workflow Designed and implemented a robust data mining system using the Scrapy framework to extract high-quality data from major e-commerce platforms such as Amazon and Knowde. Utilized CSS selectors and JavaScript parsers to accurately scrape and parse product information.

1. Cloud-Based Data Warehouse Architecture & Infrastructure Design - Architected a Cloud Data Warehouse Designed and implemented a comprehensive cloud-based data lake and warehouse using AWS services such as S3, Glue, and Athena. 2. ETL Pipeline Development and Optimization - Developed and Optimized Data Pipelines Designed and optimized complex ETL pipelines using AWS Glue, PySpark, and Airflow to ingest, process, and transform data from multiple sources. 3. Predictive Modeling & Recommendation Systems - Developed Product Recommendation Engines Built recommendation engines leveraging AWS Personalize to recommend products based on customers' purchase history and the attributes of ingredients. Implemented a text-matching system to match similar products and personalize customer recommendations. - Forecasted Demand Using Predictive Models Designed and deployed predictive models using scikit-learn, pandas, numpy, AWS SageMaker, and AWS Forecast to predict customer demand and optimize inventory levels. 4. Automation & API Integration - Integrated APIs for Data Automation Automated data workflows by integrating various APIs such as SuiteTalk, HubSpot, Akeneo, Google Analytics, BigQuery, and Search Console into cloud infrastructure. - Developed Inventory Refreshment Application Created and deployed a web application for automated inventory management, refreshing data using RESTful APIs. 5. Mentorship - Led and Trained Cross-Functional Teams Provided hands-on training and mentorship to a team of 12 members, including data scientists, analysts, and engineers, over a 3-year period. Developed training programs on advanced data analytics, machine learning, and cloud infrastructure.

- Developed Interactive Dashboards for Business Insights Created and maintained interactive dashboards using Tableau to provide real-time, visually compelling reports (sales performance, leads generation, trending products etc.) on key business metrics. - Ensured Data Integrity with Automated Validation Processes Developed Python scripts for automated data validation and correction, identifying and resolving data discrepancies. - Introduced Google Analytics for Behavioral and Conversion Reporting Implemented Google Analytics to track user behavior and developed behavioral and conversion reports, providing the company with deep insights into customer journeys and online engagement. - Facilitated Cross-Team Communication Through Data Reporting Actively communicated data insights and findings across teams using email, verbal communication, and comprehensive reports. Ensured that stakeholders from different departments, including marketing, sales, and leadership, could leverage data to drive business strategies.

a. Won “Sasaki Day Awards for 2020” by collaborated with a multicultural team devising a ten-year, maximized co-benefits Miami urban development project and investment schedule b. Increased expected return on investment by 27% by performing P/L analysis and proposing budgeting and strategic plans for year-to-year construction phase implementation c. Improved 50% accuracy on the price of cost by conducting research on site selection for different functional lands

a. Assisted for 3 different advanced MBA courses with Coursera Certification, including Microeconomics for Business (Econ 528), Management Economics and Business Analysis Capstone (MBA 590), and Marketing in a Digital World (MBA 541) b. Graded for individual coursework, teamwork, presentation, and exams as assigned (at least 40 assignments a week), with maintaining the lowest grades dispute rate among my 30 team members. c. Discovered and resolved instructors and students pain point by managing requests, answering questions during course sessions, and conducting surveys after course sessions, increased survey response rate by 10%

a. Drafted two proposals relating to build a policy evaluation system on trilateral cooperation among China, Japan, and Korea b. Published research results Analysis on the Constrained Factors of the Trilateral Cooperation Regime of PRC, JPN, and ROK, on Jilin Normal University Journal: Humanities and Social Science Edition c. Collected data from over 30 governmental and non-governmental organizations of three countries, and conducted descriptive data analysis using Excel and SPSS d. Conducted literature review and studied the development history of trilateral official and unofficial cooperation from 20 papers and books and analyzed macro-level factors that hinder trilateral cooperation mechanism

a. Assisted with project development and execution for ethnic minorities in the fields of business, tourism, agriculture, civil administration, and religion, according to the responsibilities of the department b. Contacted representatives from three different countries to assist the preparations of Asia-Europe Expo and Silk Road Economic Belt Cities Cooperation &Development Forum c. Prepared more than 100 meeting packages, and distributed them to related government officials, and took meeting minutes twice a month

The research was affiliated with the National Social Science Fund Project: Research on Evaluation of China’s Social Justice and Fairness Situation and Its Improvement Measures (Program Number: 12&ZD060) Main work: a. Surveyed over 2,000 people in 12 different communities in Beijing by interviewing during summer vacation b. Collected and sorted out plenty of data, and conducted basic data analysis with Excel and SPSS

Areas of Specialization: Advanced Econometrics; Development Economics. Domain Coursework: Advanced Data Analysis, Applied Econometrics for Micro, Time Series Analysis in Econ, Econometrics, Development and Growth Policy, Development Theory & Evidence

Coursework: Statistics, Principles of Finance, Investment, International Economics

Merit Scholarship Student Leadership Award President, Student Union Championship, Women Basketball Contest of Jilin University Coursework: Statistical and Scientific Computing Method, Database and Program Design Basic, Logics, International Law, International Politics, Geopolitics