Resume

• Analyzed financial data, credit statements, and payment histories using advanced Excel functions (pivot tables, formulas, and data visualization), contributing to a 15% reduction in delinquent accounts.

• Created and maintained interactive dashboards using Excel to track collections performance metrics, improving reporting accuracy by 20% and reducing manual data entry time by 25%.

• Evaluated creditworthiness and assessed credit risks using quantitative and qualitative analysis methods, achieving a 10% reduction in loan default rates.

• Capable of conducting quantitative analysis, including trend analysis, to identify patterns and make data-driven recommendations for collections strategies.

• Conducting background research on various types of datasets suitable for Q&A training purposes.

• Training and testing public datasets using the T5 model for natural language processing, leveraging Python programming for model implementation.

• Developing a comprehensive understanding of the RFP process and associated tasks.

•  Collaborating with Harris support to build a QA-RFP dataset tailored to our project needs, using Python for data processing and manipulation.

• Training the dataset using the T5 model and exploring alternative deep learning models in Python for potential performance improvements and system enhancements.

• Established a new business development strategy, utilizing data analysis and networking techniques, resulting in a USD$300,000 investment from the Partners board.

• Coordinate with General Manager and the executive team the annual financial planning for a USD$ 850,000 budget.

• Implemented new software for tracking and reporting on financial performance, resulting in a 20% increase in efficiency by automatizing procedures.

• Managed data analysis techniques using Excel, Power BI and SQL; this increased from USD$1.7M to a USD$2M portfolio that returned in 15 months.

• Handled market research, using surveys to identify customer needs and reflect results with statistical tools, which helped to increase sales by 20%.

• -Implemented a new collections strategy, utilizing advanced skip-tracing techniques and data analysis; this resulted in a 15% increase in successful collections. 

• -Negotiated payment plans and settlements with delinquent accounts, resulting in a 10% reduction in charge-offs.

• -Developed and implemented performance metrics and incentive programs for the collections team, using business intelligence tools such as Power BI, Excel and SQL, resulting in a 15% increase in productivity.

• -Managed and mentored a team of collections specialists, resulting in a 12% increase in successful collections per team member

• Working directly with a US Client ("Signifyd") and being able to reach monthly targets for ten straight months.

• Risk mitigation for merchants by analyzing their account transactions that are too complex for Artificial Intelligence to identify.

• Make fast accurate decisions on cases that are flagged for manual review.

• Monitor and analyze account transaction data to determine if a purchase if fraudulent.

• Identify fraudulent patterns to ensure IPs and domains are blacklisted to prevent fraud rings from hitting.

• Analyze data and take calculated risks to minimize chargebacks and inventory loss for merchants.

• Experienced in utilizing several 3rd party research tools.

• Document and summarize findings for all account transactions handled. 

Data Analytics equips graduates with the skills and tools to divide and conquer massive data sets. Through group projects working with different data sets from different stakeholders, students will gain experience handling real-life data from fields such as telecommunications, finance, and health care industries. 

The major of Finance (International Finance and Investment) is designed to train graduates equipped with a good appreciation of applied finance with solid advanced economics and finance theory, strong cross-cultural communication ability and proficiency in international and China’s economics and finance. 

• Able to apply scientific principles for the interpretation and interaction with society in a context of globalization, plurality, academic rigor, and freedom of thought.

• Implementation of the instruments, techniques, and applications of economic theory, statistics, mathematical models, econometrics, and economic policy, with their scope and implications.

• Understand the functioning of markets and their close relationship with the psychology of individuals and society.

• Managed specialized databases for the development of projections of economic and social variables.