Portfolio

Disclaimer: Please note that all names, numbers, and identifiable information have been altered to maintain confidentiality.

Note: All project images from the GOLD Dashboard to the Report Card showcase before and after automation, highlighting the transformation achieved through automation.

The automation and enhancements I implemented led to a more streamlined process, reducing time spent on data compilation and improving the accuracy of the data reported. This has enabled more effective decision-making at the global level, helping brands and markets to better align their CRM strategies with overarching business goals. The new global DCRM dashboard has become a critical tool in providing actionable insights that drive strategic initiatives across the company.

In 2024, our key initiative in the LUXE division was to revolutionize how we handle consumer reporting. The aim was to transition from an ad-hoc, manual process of loyalty data retrieval to a streamlined, automated system. This transformation was geared towards enhancing data accessibility and supporting strategic decision-making across 13 direct-to-consumer brands.

A significant project I led involved revamping the demographic data handling for our Luxury Products division at L'Oréal. Previously, we relied on Oracle for demographic data, which included critical consumer metrics such as age, gender, and income. However, after transitioning to a new provider, Transunion/Neustar, early this year, we faced several integration challenges that necessitated a comprehensive overhaul of our demographic data processes.

The project was a collaborative effort between our LUXE Consumer Insights team and the Accenture team. My role involved coordinating with both internal stakeholders and our external partners to ensure that the dashboard met all of our analytical needs. I was responsible for integrating feedback, refining the dashboard’s functionalities, and ensuring data integrity throughout the development process.

The new dashboard profoundly changed how our teams access and interact with daily performance data. By providing real-time insights and a user-friendly interface, we've seen a significant increase in proactive decision-making and strategic agility. The comprehensive glossary and embedded contact information also improved user understanding and facilitated smoother communication channels for data-related queries

These are some examples of emails and SMS messages I have made for brands that generated high revenue.  

Project Context:

• Objective: Optimize existing email triggers and lay the groundwork for a scalable, data-driven approach to testing and optimization.
• Approach:
  • Audited existing email triggers for send time, verbiage, and content effectiveness.
  • Implemented changes based on data-driven insights to improve performance.
  • Introduced the concept of isolating variables for future A/B testing.

Results:

• 10-15% CTR improvement through initial optimizations.
• Contributed to the development of a centralized testing process that led to $3.5M to $4.0M in incremental revenue.

Future Impact:

• This foundational work played a key role in creating a culture of data-driven decision-making and continuous optimization, which L’Oréal is scaling across its divisions in 2025.