● Invest and manage a family-owned home service business, developing a fully automated WIX website to streamline operations.

● Implement lead generation strategies, optimize SEO, execute ad campaigns, and oversee services and bookkeeping using QuickBooks.

● Owned & led the short-term supply and demand data process in collaboration with IT, S&OP, and finance teams, achieving a

60% improvement in ETL efficiency and 100% error-free reporting on critical supply chain metrics and KPIs.

● Identified & improved data bottlenecks, automated ad-hoc analysis and gap analysis using solver softwares, Excel, Python,

data management and SQL, delivering timely executive presentations and actionable insights for strategic decision-making.

● Identified headcount reduction and process optimization opportunities that could save 8+ hours per week, by leading a

workload analysis project utilizing ServiceNow, PowerBI, DBaaS, SQL, Python & Excel for a 30-people across GPO team.

● Saved 7+ hours per week across GPO processes as measured by project productivity by enhancing ETL processes,

optimizing SQL queries, and improving Power BI dashboards and Excel reports.

● Accomplished 100% planned team building activities with 85% satisfaction rate as an US rep across GPO.

• SJSU year-long final project for MSDA program. AI web application predicting 2022 corn yield and price using MODIS sensor images and deep learning and machine learning techniques.

• Roles: project manager for a team of 4 and developer for corn yield’s models (DNN, CNN. DNN-CNN hybrid) and AI visual web development.

Details: http://jennifernghi.github.io/corn_price_project.html

Successfully boosted the efficiency of the PPA analytical process by 15% through automating data processing and creating new Power BI visualizations using Python visuals for the Foundry Technology PPA team.