• Built a GenAI-based internal product to analyze and aggregate unstructured customer feedback data from multiple data sources and generate insights for various personas including product manager, sellers, product marketing to inform product roadmap, sales strategy, and marketing positioning.• Developed a data-driven approach and implemented it on Aha! platform for the product managers to make product feature prioritization decisions by leveraging IBM GenAI product.• Collaborated with cross-functional teams from product management, finance, and corporate strategy to establish a methodology of giving development expense allocation recommendations to individual products in IBM Software to enable product growth and align with the overall portfolio strategy.

• Led a team of strategy consultants, data scientists, and software developers to develop Natural Language Processing based product, which provided product-level insights by analyzing the end-user reviews for 200+ IBM products for internal stakeholders to improve the product features, functionalities, and market positioning and messaging.• Initiated and led the Cloud Precision Selling project to build analytical models which provided the clients’ insights and the product/sales play recommendations to the sellers, and to integrate the analytical assets into the IBM Salesforce platform. • Established the collaboration project with the Red Hat data and analytics team to drive sales synergy between IBM and Red Hat by leveraging the machine learning models, which created a $2M+ pipeline lift in North America Digital Sales Center in two quarters after the initial launch.

• Engaged with senior strategy leaders in IBM’s sales organization to analyze the impact of the sales performance levers and provide recommendations to close the performance gap.• Collaborated with human resource analytics team to analyze the impact of seller skills on sales performance of IBM’s hybrid cloud offerings.• Led the go-to-market expense plan by collaborating with sales, finance, marketing and offering managers to plan the optimum route expense budget to support the revenue target at offering and market level.• Optimized the Customer Success Manager (CSM) coverage model for IBM’s SaaS offerings across the solution business units.• Analyzed IBM’s sales incentive data and gave recommendations on which incentive elements should be included in the sales plan that have highest impact on revenue.

• Managed the sales resource allocation analytical model which provided the sales productivity and return of investment insights at the client level across all business units in IBM.• Built analytical models to measure the IBM’s go-to-market performance across all parts of the business for revenue, sales effort and profitability, which enabled 33 of 81 OnPrem and 35 of 54 XaaS portfolios execute and measure their go-to-market strategies.• Led the go-to-market metrics quarterly update process to deliver the results that provided deep insight into the route performance of 100+ portfolios across the Software and Hardware business.

• Principal Investigator: Managed industry project in collaboration with Infineon Technologies and Bosch with fund budget of S$1,200,000. The project aimed to develop full packaging solution for 77GHz automotive radar transceiver front-end with performance enhancement and cost reduction.• Co-Principal Investigator: Led 12th Electronics Packaging Research Consortium project, in collaboration with Ajinomoto, Tokyo Ohka Kogyo, EV Group and Academy of Public Security Technology, aiming to address package design, materials and process integration challenges.• Co-Principal Investigator: Led industry project in collaboration with Singapore Ministry of Defense with fund budget of S$300,000 to evaluate high-speed interconnect on 2.5D through silicon interposer (TSI) platform and to establish design guidelines.• Supervised a Ph.D. graduate (2010-2013) with thesis title of ‘Synthesis on microwave bandpass filters based on quarter-wavelength resonators’ and a B. Eng. graduate (2012) on her final year project.