● Developed and maintained demand rolling forecasts by analyzing historical sales data, category trends, seasonality, price changes, and promotions from large datasets, resulting in a 10% reduction in stockouts● Processed and monitored 10,000+ records of all transactions, purchase orders, receipts, and payments, optimizing operations to achieve a 20% reduction in processing time and a 15% decrease in transaction costs.● Performed warehouse inventory cycle counts and timely maintained the WMS' inventory reconciliationprocess, leading to a 10% reduction in discrepancies and guiding inbound process improvements.● Integrated, screened, and managed a diverse supplier pool, negotiated with suppliers, achieving an average cost reduction of 8% and identifying profit boom opportunities through market trend analysis.● Utilized advanced SCM and ERP systems, including hands-on experience with implementation and utilization of technologies such as Advanced Planning Systems (APS) and Supply Chain Analytics tools.● Mitigated risks, including disruptions in the supply chain and implementing risk management strategies.

● Employed complex SQL queries and Python for collecting, cleaning, and updating the Florida Department of Health dataset, resulting in a 98% accuracy rate.● Produced over 20 statistical reports and qualitative data summaries by utilizing Excel, Tableau, andPowerPoint, facilitating informed decision-making within the organization.● Collaborated with Marketing and Public Health teams, providing data analysis, contributing to a 15%improvement in targeted campaign effectiveness.

● Composed independent quantitative research of rental market reports and economic data in the residential property of 5+ regions and presented practical investment strategy to senior management, resulting in increasing 20% sales.● Upgraded existing property pricing models and performed EDA over 20 apartments by identifying their construction plans, financial statements, rent rolls, and local policies, formulating reliable rent prices.● Built financial models to predict profitability and risk on 10+ potential housing investments in five years.