• Designed and developed Copilot feature in internal Bing Ads product to enable top scoring opportunity questions, reducing friction with viewing OKR-oriented open opportunities.• Reduced latency of top opportunity queries from database by creating optimized stored procedures in SQL• Built pipeline stages in C# to dynamically fetch data and created Azure Function to receive user requests from Copilot• Developed integration and unit tests by leveraging Azure Kusto and Visual Studio debug, attaining 95% coverage

• Determined project parameters, scope, and tasks and evaluated business need for an alert feature through discussions with Product Managers.• Compiled and presented problem statement, goals, and success metrics in a report.• Built and automated pipeline in Azure Data Factory to streamline client churn prediction for internal Microsoft sellers.• Optimized user efficiency in mitigating churn by determining and implementing an algorithm for high-value client filtering.• Prepared data for analysis by querying, cleaning, sorting, and aggregating raw data using PySpark to obtain strictly relevant, informational, and coherent data.• Determined client filtering algorithm by analyzing over 13,000 rows of account-level data and performing table joins to create visualizations with Seaborn and Matplotlib.• Articulated analysis findings and filter impact in final presentation to senior leadership and over 50 full-time employees.

• Implemented format metadata dimension to GraphQL schema in Elixir by modifying existing structure and adjusting, removing, or creating queries and mutations to standardize data type formatting in MongoDB.• Performed ETL tasks on tabular report data in SSIS; created and maintained packages run daily in Visual Studio.• Reinforced appropriate use of admin reports by creating a Node.js script and revising naming conventions in Elixir

• Oversaw and developed sign-up flow with React, AWS Amplify, SCSS, and Bootstrap; designed component hierarchy and utilized React Context to manage state.• Leveraged AWS SES, GraphQL, DynamoDB, and Lambda in the backend to trigger delivery of customized case confirmation email upon sign up by displaying queried data using a Handlebars email template.• Automated email marketing using MailChimp’s API by adding & tagging contacts through Lambda triggers to create dynamic audience segments for email targeting.• Optimized fairness competition algorithm by comparing existing practices and analyzing company data since launch.