•Worked on projects that involved utilization of RPA to automate common service desk tickets that led to an overall 25% increase in improved user productivity and 40% overall ROI.•Worked with SMEs and Business/Project leads to create new system designs and maintain/update project documentation via established project management tools such as JIRA.•Synthesized current business intelligence data to produce reports and polished presentations, highlighting findings and recommending changes.•Proficiently operated day-to-day Level 1 to Level 2 application support for Tapestry's main Supply Chain Management Program.•Played a key role in the successful application migration of a newly acquired PLM system through comprehensive data analysis and weekly reports with the client during development and after launch.•Interpreted custom data into easily understandable reports for the supply chain application used by the client with a global user base of 2700+ active corporate users.•Responsible for onboarding several members onto the company and becoming team lead/senior support lead for the New York division of the company.•Assigned tasks to associates, staffed projects and updated all involved parties to enhance optimal business flow.•Built library of models and reusable knowledge-base assets to produce consistent and streamlined business intelligence results.•Analyzed key aspects of business to evaluate factors driving results and summarized into presentations.

•Performed Quality Assurance checks for public and non-public release datasets published on the Health Data New York website.•Translated complex SQL scripts to English to assist the department in conveying process rules, requirements and expectations to an external vendor;•Responsible for identifying errors in the process.•Responsible for data release of identifiable healthcare data to researchers.•Involved in the de-identification processes for data release, data use agreements, while abiding by HIPPA regulations.•Responsible for organizing recurring monthly meetings held by the SPARCS Data Governance Committee.•Resolved problems, improved operations and provided exceptional service.