Edward Ding

• Built and maintained customer portal through Django, AWS, Python, Go service modifications.
  
• Utilized PostgreSQL and MongoDB to query and process data from over 100k shipments.
  
• Built REST APIs using Go to support scalable reporting pipelines and ensure validated data flows.
• Monitored OpenSearch and used Postman for troubleshooting bugs and identifying bottlenecks.
• Followed Agile methodoligies by participating in daily standups, cardboard.it sprint planning, and Jira task tracking.
• Streamlined CI/CD workflows with GoCD pipelines to automate deployments and speed up delivery.

• Built an analytics dashboard using React and Flask to visualize potential shipment transit issues.
• Collected outage data from over 100 electrical utility websites using Selenium and BeautifulSoup.
• Designed and delivered more than 10 interactive dashboards with Tableau for 100+ users.
• Developed interactive US outage map with Bokeh to allow operations teams to assess delivery risk.

Transportation Cab Billing

• Built a pipeline with Pandas and NumPy to automate billing error detection and reconciliation for school transportation invoices.
• Created Matplotlib/Seaborn dashboards to visualize cost metrics, no-show rates, and trip patterns across campuses for data-driven budget decisions.
• Applied Scikit-learn and TensorFlow models to forecast transportation costs and identify anomalous billing patterns.

Stock Calendar

• Scraped stock data from JavaScript-rendered financial websites using Selenium/Playwright, with structured extraction via BeautifulSoup.
• Modeled and analyzed processed stock event data in Power BI, creating interactive dashboards to explore stock trends.
• Built a stock earnings calendar application with a Flask REST API, PostgreSQL for structured storage, and a React frontend.