• Developing a real-time dashboard for project metrics, emphasizing anomaly detection and expense tracking.• Developed a Python pipeline for data cleansing, cost prediction, and feature engineering, saving around $80,000 by identifying avoidable construction costs and aiding budget decisions for university construction projects.• Collaborated with cross-functional teams to implement AWS tools, including Textract and Lambda, to develop synchronous workflows for precise budget decisions, preventing avoidable expenses.• Analyzed project costs and developed insights from construction data, contributing to strategic budget decisions.

• Designed and implemented an end-to-end anomaly detection system for Lilly's R&D systems using AWS tools and machine learning algorithms, including REST API endpoints for data access, which reduced anomaly detection time by 40% and improved overall system reliability.• Managed the migration of on-prem system logs to AWS Cloud, optimizing data retrieval speed by structuring logs with Lambda functions, standardizing data with API schemas, and securing storage in S3 blob storage.• Drove continuous improvement by analyzing extensive run-time log data from clinical trial systems using Python libraries and Splunk, yielding significant insights for anomaly detection.• Spearheaded the winning project at Eli Lilly's intern hackathon, enhancing the efficiency of new developer onboarding process and the user experience by creating a comprehensive portal for all new hire resources.

• Designed an Angular-based Q/A landing page architecture for Rocket loans to collect lead data from clients, aiding business analysts' decision-making with client responses to boost Rocket mortgage applications by 30%.• Developed and integrated REST API endpoints using Nest.js, enhancing data transfer and processing efficiency.• Engaged in Agile development processes, including integration testing and code reviews, significantlycontributing to high-quality deliverables and the success of team projects beyond the intern project scope.

• Enhanced event handling by 90% by designing an event-pushing system with Azure tools and ASP.NET Core Web API in C#.NET 6.0, replacing polling with an efficient pushing model for events from an external team.• Conducted thorough integration testing with 95% code coverage, exceeding the standard 80%, contributed to detailed engineering documentation and deployment of the project into production.• Worked in an Agile framework, collaborating with the team to ensure high-quality code and project alignment.