Qiaohui Sun

• Foundational improvement to sales forecasting product suite by optimizing automated univariate Demand Forecast algorithm using ARIMA, Exponential Smoothing, Neural Network and Linear Regression, generating $1M+ starting revenue with potential for product category expansion. • Optimized modeling performance of products assortment optimization algorithm and enhanced model scalability by migrating code from R to Python. Improved product revenue by 50% along with company-wide adoption. • Designed and developed Price Gap Management solution to visualize syndicated price sensitivity model. Provided commercial team global template to model business attributes for all customer types and expand customer base.

Successfully improved the usage of the MS Office product suite using Double Machine Learning (DML), reducing the internal client cost of goods sold (COGS) by 40%. • Improved visibility into the causal relationship between feature usage, app responsiveness, and NPS flux by designing a visualization framework using Python and Azure Web Service. • Streamlined feature delivery timelines and product feature prioritization strategies for partners by enabling teams to visualize DML results cost-effectively and to prioritize product features. • Improved SLA and customer satisfaction rates by analyzing DML causal estimate results. • Successfully overcame a high level of project ambiguity by devising a concrete plan to run the DML algorithm and present the DML results via a dashboard. • Achieved cross-functional and cross-organizational collaboration to model the impact of application performance on the level of customer satisfaction for multiple office products.

• Achieved a 15% increase in the user base for cloud-based IoT transportation, retail, and facial recognition solutions with Microsoft (Azure). Increased product availability on a global scale by establishing a footprint in North America. • Successfully created a communication channel between the engineering team and MS Azure partner team and led technical reviews of the solution architecture to integrate the transportation and retail solutions on Azure. • Improved business growth for NEC standard PC rental service in Japan by realizing a 20% increase in product growth, a 30% increase in the user base, and a 50% customer conversion rate.