stefansalvatore

1. Led the development of a data portal platform using Streamlit, building interactive front-end interfaces to enhance data transparency and accessibility for both the Open Data group and business departments. 2. Collaborated on the SparkGrowth initiative, utilizing Azure Synapse Data Lake and Airflow to automate data ingestion pipelines, and applied Python, SQL, and Alteryx to perform advanced data cleansing, transformation, and orchestration to improve data accuracy and update efficiency. 3. Designed and implemented a KPI system aligned with core business objectives, covering user growth, transaction activity, and capital retention, and provided analytical support to decision-makers across product, operations, and marketing teams. 4. Built scalable and extensible dashboard solutions using Tableau, KNIME, and DOMO, and integrated SoQL for deep database queries, supporting end-user data exploration and self-service analytics. 5. Continuously monitored performance analytics and portal interface design trends to enhance the organization’s ability to make data-driven decisions and strengthen data governance.

1. Use Python to do prediction in supply, demand and price of monitor manufacture industry and merge multiple models 2. Use Flask as an interface generator, which passes predicted and history data to Java back-end 3. Develop base framework with Java (Spring Cloud), VUE, CSS, HTML, and MySQL 4. Develop VUE module – Echarts to implement data presentation and visualization 5. Organize daily meeting to control project deadline and delivery