Data Architecture Product Manager - Banking Sector Project (March 2021 - Sept. 2023)• Led data architecture workstreams on an ETL project for a US-based Fortune 500 banking client, managing processes from data analysis to system integration testing.• Interviewed reporting product owners, source system experts, and business leaders to understand commercial banking practices, P&L reporting needs, and source system characteristics.• Coordinated the development of mapped tables and fields, validating them through system integration testing and user acceptance testing.• Enabled multidimensional, customer-level profitability and regulatory reporting for over 3.2 million instruments: ▪ $72B in commercial loans ▪ $2.9B in Paycheck Protection Program loans ▪ $800M in commercial construction loans ▪ $40M in commercial checking deposit accounts

• Identified, analyzed, and fixed 192,000 errors in table of 358,000 employee records using Python.• Processed and cleaned 75,000 customer agent records. Resolved formatting errors preventing data import.• Analyzed 1,221 view definitions using Teradata SQL to identify broken relationships between tables in customer service database.

• Assisted with instruction and grading for an introductory Computer Science course.• Held office hours every week, working one-on-one with students to help them understand course material.

• Gathered, analyzed, and visualized large amounts of municipal data in Python (using pandas and matplotlib). Used machine learning algorithms to draw meaningful conclusions out of the data.• Trained and tested an object-detection/computer vision neural network, built using TensorFlow, to identify windshields in cars. • Collaborated on and delivered a presentation of this machine learning project to senior executives at the Infosys NYC hub.

• Managed and motivated employees, delegating tasks appropriately to improve efficiency.• Ensured customers had a welcoming experience during high-volume and fast-paced operations.• Resolved customer complaints in a courteous and timely manner.• Accurately input daily sales reports and financial data into a digital system.