Christine Pang Email & Phone Number

New York, United States

• Managed accounts payable and receivable data for 500+ accounts spanning various industries, ensuring accurate and timely billing, efficient payment processing, and maintained financial record-keeping• Monitored client payments using QuickBooks, identifying trends and patterns to optimize cash flow management and facilitate timely collections resulting in lowering late payments from 20% to 10%• Managed extensive datasets, including data cleaning, and analysis using Excel, resulting in a 20% increase in operational efficiency• Generate detailed monthly financial reports, utilizing a combination of QuickBooks and Excel pivot tables, VLOOKUP, data visualization charts, turning data into actionable insights for leadership• Performed data migration of financial information from Excel to QuickBooks, resulting in high data integrity and 100% success rate for the exercise • Designed and implemented a data-driven billing platform, by collaborating with the development and management team to migrate process from Excel to a specialized application, improving accounting productivity by 50%• Trained employees on daily operations until they achieved full independence and created a detailed handbook outlining their responsibilities and procedures

New York, Ny

• Evaluated suspicious transactions by reviewing suspicious transactions, issuing refunds and blocking fraudulent users, lowering financial loss by 80% due to fraudulent Gett US rides • Analyzed transaction data using SQL queries and various fraud detection tools to detect fraudulent transactions and verify the legitimacy user profiles resulting in a daily savings of $10,000 for the organization • Monitored and reviewed suspicious activities, including multiple user accounts, and analysis of their travel history by using SQL queries, Feedzai, and Ethoca, saving the organization $30,000/day• Collaborated within a team, rotating tasks to improve operational efficiency by 20%• Actively participated in training sessions and self-study to expand knowledge of data analysis techniques and tools, focusing on developing expertise in SQL