Performed price elasticity regression analysis and customer segmentation through k-means clustering using scikit-learn, xgboost and Python, thereby identifying optimal price points for key SKUs, and driving incremental net revenue for the Advil brand by 8.3%

Developed a pricing tracker tool in Excel using XLOOKUP, SUMIFS, and Pivot Tables that analyzed Haleon and key competitor pricing trends to identify opportunities for portfolio growth

Collaborated with cross-functional teams to develop optimized price-pack architecture for the Centrum and Tums brands, leading to the launch of new PPGs which resulted in a 4% growth in market share

Architected a corporate-wide SharePoint Site to host 10 000+ frequently accessed documents, eliminating organizational inefficiencies and boosting overall productivity

Implemented an Azure Data Factory pipeline with support for CI/CD to automate ETL processes to deliver sales data to Power BI, resulting a 75% reduction in time spent on manual updates

Developed a Power BI dashboard using SQL and DAX expressions to track changes in product consumption across different time periods and monitor out-of-stock instances, facilitating an increase in sales productivity

Coordinated an Agile team using Jira and Git and throughly documented all projects.

Architected a REST API tool using Angular and NodeJS to execute SQL queries. Tested the API using Postman. Integrated Microsoft AD for authentication and authorization, facilitating unlimited user scalability compared to a previous limitation of 200 users

Spearheaded the development of an Excel macro using Visual Basic to handle API calls and convert JSON responses to Excel arrays. Macro was adopted department-wide and decreased report generation time by 50%.

Programmed a full-stack Java application with integrated WebSockets and MS SQL Server drivers to maintain organizational unit hierarchies and update daily PnL data, reducing operational risk and saving 30 minutes per update..

Mapped 5 books in 3 organizational units to ensure data accuracy as the bank underwent the CDOR to CORRA interest rate benchmark transition

Modernized two core enterprise Azure solutions by upgrading Node.js from v16 to v22 across C# and Vue.js stacks, improving build times by 20% and reducing technical debt.

Built secure REST API endpoints in C# with Dapper and SQL Server for reporting system used by high-volume asset management clients, saving 800+ hours annually.

Designed and implemented backend logic leveraging Azure Functions and Blob Storage with a responsive Vue.js front-end to transform fund-level data from SQL stored procedures into client-ready financial deliverables.

Coordinated among 20 developers in an Agile environment using Git and Azure DevOps for version control.