- Manage relationships with a portfolio of 20+ clients (Asset Managers, Fund Administrators, Auditors, Exchanges, Crypto Enterprises, and Government Agencies) acting as primary technical contact to ensure seamless product implementations and strong customer satisfaction. - Serve as Enterprise Data Management product expert, working directly with clients to design tailored technical solutions to meet their unique business needs, all while providing consistent white-glove service. - Lead recurring client calls to build strong rapport, gather valuable product feedback, and discuss potential enhancements to better align product functionality with clients’ use cases.- Translate client feedback into actionable product improvements and strategic roadmaps, working closely with leadership and Product Managers to prioritize fixes and improvements.- Collaborate with Account Managers to identify and present upsell and cross-sell opportunities that maximize client value and drive revenue growth.- Streamline internal processes by leveraging SQL and Python to automate workflows, achieving a 50% reduction in client-query response times and significantly improving case resolution efficiency.- Respond to and prioritize ad-hoc client inquiries, addressing product bugs, data quality issues, and other technical challenges to deliver timely resolutions and maintain high client satisfaction.

- Assisted in an innovative, client-facing marketing campaign: traveled to mid-market banking client headquarters to pitch a vendor management software solution.- Oversaw client vendor data integration, streamlining the process to reduce integration time from one week to 1-2 days, ensuring accurate matching with existing database records.- Provided comprehensive client support and communication resulting in improved client understanding and satisfaction by addressing queries and clarifying system functionality.- Developed and maintained Python scripts for data processing, significantly contributing to workflow automation and operational efficiency, enhancing overall data management capabilities.

• Assisting students in writing smart contracts and testing scripts focusing on efficiency and security • Reviewing and grading students’ code: identifying bugs, testing core functionality, and providing feedback• Answering students’ questions and providing guidance during weekly office hours

- Developed an automated ETL pipeline to support financial models, integrating data aggregation, error detection and correction, and a backend API for seamless data management.- Sourced high quality data; employed various statistical methods to verify data integrity.- Leveraged data to calculate cost and revenue models for prospective clients during the onboarding process.- Incorporated revenue models into investor pitch decks to demonstrate the businesses’ financial viability.

• Conducted research to help regional banks roadmap their digital evolution• Analyzed how financial institutions implement FinTech to better serve their customers• Gathered, analyzed, and presented data on the economic impact of FinTech solutions• Interviewed executives at FinTech firms to better understand the future of the industry • Corresponded with regional bank executives to analyze their goals and priorities for modernization

• Managed $4.30M property by coordinating housing contracts between 38 live-in members and ownership group resulting in a surplus of $98k• Built $1.35M budget to allocate money across seven subcommittees, oversee implementation of budget and spending of allocated funds• Kept up to date records on chapter spending, taxes, accounts payable, and accounts receivable

• Cleaned, visualized, and presented sales data in collaboration with Head of Data Analytics division• Formulated analytics reports and proposed data-driven solutions to various business problems:o Designed a protocol to equally distribute tips among restaurant staffo Developed models to predict quarterly menu item sales across each restaurant