jscamanda

Practiced structured problem decomposition and creative assumption-challenging frameworks; developed revenue growth strategy recommendation for a luxury retail client simulation.

Managed high-volume AP operations processing 20+ invoices daily and 50+ payment requests weekly — zero compliance violations across contract terms and internal control requirements. Executed monthly reconciliations across 20+ vendors and 15 Tsingshan Group entities, resolving discrepancies and protecting payment accuracy on multi-million dollar supplier accounts. Redesigned month-end financial reporting workflows, reducing closing cycle time by 15% and improving cross-departmental data accuracy — directly reducing audit exposure. Conducted monthly tax reconciliations and prepared regulatory compliance reports, maintaining zero penalty record throughout tenure. Recorded and reconciled monthly foreign exchange gains and losses across multi-currency transactions, ensuring IFRS-aligned financial statement accuracy. Designed and delivered ERP (Kingdee) training program for finance team — improved system adoption, reduced input errors, and built institutional capability for accurate transaction recording. Assisted internal audit activities by preparing working papers and strengthening internal controls; helped safeguard assets across a complex multi-entity operational environment. Served as primary liaison between internal teams and 20+ external vendors, resolving billing disputes and managing stakeholder expectations under tight operational deadlines.

Analyzed campaign underperformance using Python and an XGBoost classification model (scikit-learn) trained on 69 customer variables across demographic and credit card usage data. Identified two core client personas (high vs. low responders); delivered a 4P-framework strategic recommendation shifting spend from direct mail to targeted digital channels — projected to improve response rate and campaign profitability. Presented findings and strategic roadmap to consulting faculty panel in a structured client-facing format.

Applied Data Envelopment Analysis (DEA) to evaluate efficiency across 58,000 banking records from ASEAN and EU institutions using STATA, RStudio, and Python. Produced cross-regional efficiency benchmarks and identified structural performance gaps — methodology suitable for publication in academic finance journals.