Christine David

I’m a data analyst and data scientist focused on turning large-scale customer and people data into decisions leaders can act on. At LULULEMON, I partnered across EMEA and APAC to design new customer attribute data models in Databricks using SQL for marketing, and I used Power BI to build insight-driving visualizations. I also improved customer forecasting by optimizing the coding structure and reducing process complexity.

Previously, as an HR Data Analyst (People Analytics) at Providence Health Care, I led the design and build of scalable SQL ETL pipelines and reporting for finance teams tied to employee retention initiatives. I delivered dashboards and data-driven reports using SQL and Python, and I built advanced SQL-based employee tenure models from multiple data sources to support leadership decisions. I collaborated with non-technical clinical stakeholders by gathering requirements and delivering technical solutions from ERP systems such as PeopleSoft.

Earlier, at HALA (RTA CAREEM LLC) in Dubai, I operated as a Data Scientist (Growth Analytics), independently managing the growth analytics and experimentation function. Through A/B testing, I boosted short-ride market share by 9% by designing a scalable SQL experimentation measurement framework, creating KPIs, and presenting actionable insights to support pilot expansion. I also achieved a 6% market share increase using geospatial data opportunity sizing with Google Maps and communicated results via Tableau dashboards in weekly senior leadership reviews.

At MU SIGMA, a data analytics consultancy, I helped improve data architecture by optimizing SQL queries, building robust ETL processes, and ensuring seamless dashboard integration. I delivered customer insights across loyalty analytics—engineering a repeatable, real-time customer profile dataset in SQL that reduced ad-hoc analysis requests and analyst effort by 75%—and I’m still motivated by the same mix of strong analytics, clear storytelling, and measurable impact.