- Orchestrated an operating model to implement Quantexa software within the BNY organization to centralize and improve the accuracy of internal data. This blueprint was an end-to-end plan that was presented and recognized by the senior leadership team to increase efficiency and save hundreds of thousands of dollars in workforce hours- Developed 30+ requirements to build functionalities to improve the user experience in the UI of Quantexa for 5+ software developers. These features enhanced the workflow of 15+ help desk team members by providing easy-to- access functions that allowed them to decipher incoming requests and execute quick decisions- Collaborated with 12+ key stakeholders and LOBs to identify data ownership for centrally utilized data elements for the client's lifecycle. This resulted in clean data across the organization and decreased the number of data discrepancies, improving team efficiency- Executed SQL queries to assess three different third-party data for cost savings. This research led to selecting a separate third-party vendor and saved BNY $800k in product cost

- Performed weekly user acceptance testing on clients' monthly statements to identify inaccuracies, often relaying 3- 5 errors per statement to management. These analyses identified 35+ errors across three months and saved BNY thousands of dollars in billing- Explored joint venture CIBC Mellon and assisted in formulating 20+ test scripts to transfer trades to CIBC- Assisted in writing Business Requirements Documents for the automation of the Lockbox process. These documents were used across the finance and treasury departments and saved hundreds of hours for customers and BNY employees

- Leveraged datasets within Excel to analyze and identify trends with 2+ years’ worth of overage, shortage, and damage information totaling $1,000,000. These findings were presented to senior leadership for future strategic decisions- Implemented automated Memorandum of Adjustment (MOA) process utilizing pre-existing software called Workfront to streamline 500+ claims and increase claim output by 50%- Formulated solutions and recommendations for Stonyfield to prevent significantly high levels of MOAs. This entailed analyzing the claim data of frequent offenders and conducting a root cause analysis to determine causes, and was shared with the CEO within a presentation- Leveraged various technologies such as SAP and InfoLog to navigate and exert data

- Developed historical order analysis to predict reorder timing based on 950+ SKUs, customer demand, and seasonal trends- Performed analysis on e-blast open rates to provide a team of 20+ sales representatives with a list of 50+ high-quality leads