Ivan Chen Email & Phone Number

Santa Clara, CA, US

Defined Finance data strategy and built out data foundation, governance processes, and 10+ person team to execute. Partnered with cross functional stakeholders to automate solutions that drove actionable insight by combining available data with the visualization, BI, and analytic techniques. Helped to mature finance analytics capabilities from canned.

Santa Clara, CA, US

Built out analytic solutions to optimize revenue & margin focused on pricing, discounts, rebates, and sales incentives. Integrated multiple systems, partner data, and product performance data in order to scale business insights for product management teams.

San Jose, CA, US

• Created, developed, and managed global team of 40+ data scientists, data engineers, data and business analysts, developers and program managers focused on:
• Establishing & driving executive SaaS business health scorecard to drive quarterly business reviews and KPI’s across the organization
• Built and implemented first internal predictive churn, upsell, and adoption scores to optimize the lifecycle management of customers & renewal program
• Led Product Management and development of an analytics solution for a customer lifecycle management application used by internal customer success teams and external partner customer success teams targeted at optimizing.

San Jose, CA, US

• Responsible for identifying and analyzing key pricing opportunities for Cisco Cloud Collaboration products which include WebEx SaaS and on-premise web conferencing solutions, enterprise messaging, and voice.
• Developed pricing proposals and cross business unit packaging bundles and promotion recommendations for Sales, Finance, Marketing, and Product Management executives
• Created and codify SaaS integrated metrics framework that measuring recurring revenue streams, retention, and customer profitability by customer segment, route to market, geography and sales segment
• Collaborated with sales to determine top revenue generating opportunities by evaluating upsell/cross-sell, and establishing optimal deal parameters and discounting policies to optimize for profitability

San Francisco, California, US

Develop and implement credit risk strategies such as risk-based pricing, collections, and line increase or decrease risk scoring. Designed A/B tests to determine credit risk/profit optimization for credit risk strategies.

Mclean, VA, US

Setup Feasibility and Investments Office for Greater China in Shanghai to assess hotel projects through valuation, including competitive and market risk. Created financial models to evaluate different scenarios including tax and finance structure.

SG

Feasibility of hotel construction deals by leveraging internal source of PnL for all hotels, primary research and syndicated data. Modeled, projected and tested operating cash flow projections and investment return analysis. Analyzed level of market to absorb the new hotel project and level of risk associated with the development.

San Francisco, California, US

Created fraud prevention strategies and models to detect fraudulent transactions using SAS, SPSS, and SQL. A/B test models and tracking reports to improve fraud detection capabilities. Created fraud analytics for loan loss forecasting.

San Francisco, California, US

As part of the credit lending data science team, developed models and implemented the credit risk strategies to balance risk and reward. This included developing risk scores for credit line increase and decrease and credit card reissue. Support marketing programs by providing risk scores and NPV calc of projects.

US

As part of the risk team of credit lending, I managed, processed, and governed datasets used by data science teams. Develop monitoring frameworks and reporting to analyze credit risk and financial metrics.

Master'S Degree, Management In Hospitality, Real Estate Finance & Investments

Bachelor'S Degree, Economics