Bingqian Gao

Solving Life Sciences' customer engagement and commercial optimisation challenges with innovative AI solutions at the intersection of data analytics, machine learning, and technology.

• Global Team Leader for Advanced Analytical Solutions: Led a global team (Europe, Americas, and Asia) of data scientists and consultants to deliver custom AI modules (e.g. Personalised Content Recommendation, HCP Segmentation, Dynamic Targeting) and analytics consultancy (e.g. AI Readiness Assessment) using CRM and Omnichannel data to help support commercial pharma growth strategies, as well as conducting Impact Assessment with benchmarked success metrics to ensure quantifiable customer success and ROI.

• Product Innovation & Programme Leadership: worked closely with product leaders and contributed to product roadmap through "customer-facing R&D"; developed end to end data strategies to improve customer engagement experience; led cross-functional strategic initiatives including new data product prototyping.

• AI Thought Leadership: spearheaded analytics and AI thought leadership through publications and lectures; crafted an Analytics Framework to establish rigour in Next Best Action solution evaluation and impact assessment.

Scoped, sold and implemented analytics projects that provided value through data analytics, technology, automation, and Machine Learning. Actively involved in sales, partner relations, project and people management. Data Science and Machine Learning:

• Leadership: established the Data Science practice from scratch with a ground-up initiative; created collaterals including delivery methodology, framework, and service offering proposition.

• Customer Renewal Prediction: sold and delivered an advanced analytics project that included a customer health research pack, and a machine learning solution that predicts customer renewal for a global SaaS business.

• Time Series Forecasting: delivered a sales volume and market share forecasting solution for an FMCG client for 300 products in 60 markets with ARIMA and Exponential Smoothing, with dynamic model selection.

• Predicting Employee Churn: led a proof-of-concept project to productionise a desktop-based Python machine learning model on Microsoft Azure pioneering Data Factory and Azure Machine Learning Services. Data Analytics, Consulting and Automation:

• Project experience in FMCG, Public Sector, Healthcare, Pharmaceuticals, Professional Services and Charities.

• Created analytical tools that helped a charity evaluate the effectiveness of their substance misuse intervention.

• Delivered an operations reporting platform for a governmental organisation on a national survey rehearsal.

• Delivered an ad-hoc pricing project for a healthcare client that enabled a quick turnaround for a bid submission.

Built expertise in quantitative methodologies including Conjoint analysis, market simulations and segmentation.

Designed and executed market research studies using Econometric modelling and advanced scenario modelling for product innovation, brand communication, pricing and portfolio management.