xiaosai

Led group-level business analysis, fund risk monitoring and enterprise AI platform operations; delivered executive decision materials. ▪ Business Analysis & Industry Research (special initiative): Initiated a comprehensive business analysis and industry research project per the Chairman’s request; built the analytical framework and milestones; used AI tools (Choice/Wind) to complete market research and multi-source data analysis; delivered fund monitoring and operations diagnostic reports (financial audit assessment, cash-flow monitoring, supply-chain performance analysis) on schedule; drove conclusions into management decisions. ▪ Fund Monitoring & Risk Early-Warning (project build): Initiated an enterprise-level fund monitoring system project; defined business scope and metric definitions; coordinated Finance, Business and IT resources; integrated multi-source heterogeneous data; drove the development, launch and continuous tuning of risk-control metric models; delivered quantitative decision support and forward-looking risk warnings to management. ▪ Fund Turnover & Inventory Monitoring (special initiative): Led a special project tracking fund turnover cycles and inventory turnover across 6+ subsidiaries; identified efficiency and compliance risk points with data; issued fund & inventory management policy recommendations; managed group-subsidiary two-tier stakeholder expectations, drove policy approval and implementation, and tracked execution results. ▪ AI-Agent Platform Operations (productization): Managed the enterprise AI-Agent early-warning platform project — requirements collection, iteration scheduling and effect validation; automated precision push of risk alerts and built a knowledge-graph system; processed 400+ abnormal events and completed iterative upgrades with closed-loop validation of 350+ business models. ▪ CNN Risk-Control Modeling (special initiative): Led a CNN deep neural network classification model project to address complex fund-flow classification and inefficient manual checks; set a 2-month iteration plan, organized business feedback and model-tuning reviews, and drove the model’s on-schedule launch with +10% classification accuracy, strengthening intelligent risk control.

Led data analysis, forecasting modeling, cost optimization and system migration for Amazon’s global cross-border seller support business. ▪ Demand Forecasting Model Design: Applied hypothesis testing, time series, K-Means, logistic regression and other econometric models to evaluate actual-vs-forecast deviations for business volume and key drivers (e.g., headcount efficiency); delivered precise headcount-efficiency plans. ▪ Business Data Support & Cross-Border Supply Chain Risk Control: Deep business understanding across customer support (supplier management, customer operations, CS headcount efficiency); drove cost optimization, efficiency improvement and forecasting with data-driven decisions; collaborated with overseas regional teams and identified operational and compliance risks in cross-border business. ▪ Automated Data Development: Designed and developed data models; built a BI data service platform (Tableau/Power BI, Python, VBA, SSIS, Redshift, AWS) supporting 200+ cross-functional users for daily/weekly/monthly reporting; delivered system builds for the China cross-border seller service business, improving efficiency and saving cost. ▪ Weekly/Monthly Risk Monitoring: Produced weekly and monthly reports; ran data-anomaly risk analysis, identified business deviations and potential risks; delivered strategy improvement recommendations and drove cross￾team implementation, forming a closed loop of “monitor – alert – analyze – optimize”. ▪ Overseas HQ Liaison: Collaborated cross-functionally with overseas HQ; followed the strategic direction of the overseas machine-learning team, conducted strategic follow-up analysis and translated HQ strategy into executable China subsidiary initiatives. ▸ Project: Global Seller Support Site Allocation Cost Optimization Generated rolling weekly forecasts via algorithms, configured system ticket volumes and monitored production service levels; built business reports, analyzed differences and adjusted ratios to control cost; developed BI programs and automated reports (Power BI/Tableau, VBA, Python) and coordinated stakeholders; improved data accuracy by 10% and saved 30% project cost over the past year. ▸ Project: China Headcount Plan Forecast Precision Tuning Collaborated with the machine-learning team on one-year headcount business-line data; aligned key parameters with stakeholders, analyzed version differences and monitored forecast deviations; delivered precise customer-service headcount solutions; deeply participated in data modeling and optimized data flows, cutting time by 70%; built deviation analysis reports using rolling weighted averages; improved project accuracy by 30%. ▸ Project: Global Seller Support Business System Migration Liaised with business system departments, delivered documentation and data reports, and provided a stable system operations platform; designed and configured rules cross-functionally with production data-difference monitoring; saved 20% of China operating cost; supervised post-migration data, aligned with data-warehouse development and rebuilt reports, saving 15% labor cost.

Led retail business monitoring, BI development and data warehouse build; acted as business data BP. ▪ Business Monitoring & Risk Early-Warning: Tracked daily/weekly/monthly operating metrics and operations; located and closed out every abnormal data item; issued risk early warnings. ▪ BI Reporting & Data Warehouse Build: Developed and maintained business subject reports; built the ecommerce retail data warehouse from 0 to 1 covering orders, products, channels and traffic, supporting promotions, coupons and ad-hoc analysis needs. ▪ Data Governance & Executive Support: Liaised with the corporate data center, unified business data definitions and ensured data supply for executive meetings. ▪ Data Platform Architecture Design: Led BI system business modeling and data dictionary design; drove R&D to deliver BI platform features. ▪ Agile Data Analytics Development: Used SQL, Smart BI and Tableau for data mining and complex business model development. ▪ KPI & Reporting System Building: Built cross-department data collection and analysis systems, defined metric/report/parameter governance rules, monitored performance and delivered business decision reports. ▸ Project: 0-1 KPI System Build 1). Acted as data BP bridging the data center and business executives; designed a full set of business monitoring KPIs (operations, strategy, HR, finance) per the business model, standardized definitions and advanced digital transformation; delivered BI report suites (coupon details, price analysis, traffic & sales, competitive, supplier sales) empowering the merchandising team to adjust strategy quickly. 2). Designed automated visualization dashboards from 0 to 1, delivering daily/weekly/monthly operations reports covering regional sales, operating cost and attendance to support management decisions. 3). Designed the KPI system and delivered self-service analytics with permission architecture and report logic validation; trained business users, built data risk awareness and improved anomaly identification and decision efficiency.

▪ Business Data Monitoring: Tracked and monitored enterprise operating data through the data warehouse to support management decisions. ▪ Data Model Building: Built data models per business patterns and industry characteristics; processed data in depth and provided shared services for users. ▪ Project Process Management: Monitored company input-output across project productivity, marketing profit and workforce performance; provided data support for project decisions. ▸ Project: Consumer Finance Pre-Loan Customer Early-Warning Model Led the analytics and business teams as data analyst; drew up the business risk early-warning metric wide table, documented project specs and data definitions, corrected data deviations, tuned the customer early-warning model and monitored its effect; through model creation, deployment and tuning, lifted overdue prediction accuracy to 80% and controlled million-level cost risk for the company. ▸ Project: Workforce-Efficiency Project Management Analytics Delivered full management of R&D project processes covering progress, quality and cost (work hours); designed R&D efficiency KPI systems, completed end-to-end data cleaning and processing, built user interaction and permission control, and delivered themed visual dashboards and reports (Tableau); integrated with the ZenTao project management system to monitor R&D production data, review periodically and trace deviation causes; after launch, plan accuracy improved, schedule deviation reduced and work-hour deviation dropped by 15%, recognized by management as an efficient PM tool.