Worked as a Research Assistant at USC's Center for Advanced Research Computing.

Worked as a Teaching Assistant to Prof. Douglas Shook and Prof. Mohammed Alyakoob at USC Marshall School of Business (Department of Data Science & Operations)Courses: 1. Enterprise Data Architecture (DSO 435)2. Business Analytics (DSO 510)

1. Implemented a rules engine for a billing system to automate monthly finance process. Resultant framework helped replace a manual business system with an automated one, hence reducing possibility of human error.2. Built an Agile API service written in C# with Microsoft SQL in backend, a user interface module built using React with Typescript, and an Azure AD authentication module to authenticate the API and UI.

1. Designed and developed a real-time log-based data pipeline with Kafka as log queue and Clickhouse (data warehouse) as sink and achieved a high data accuracy of 99.5% when compared with source of truth.2. Implemented a Publisher-Subscriber based Alerting & Reporting stack with horizontal scaling at the Subscriber end.3. Spearheaded a unified analytics and operations dashboard solution with enhanced user engagement; Led a team of 10involved in this project; End product in its production phase is utilized by 750+ users.4. Mentored, monitored, and reviewed projects in the Data team; Fast tracked releases by automating release processes.

1. Reformed a time-intensive ETL pipeline to perform 35% faster by modifying sections of pipelines from ETL to ELT model; Helped in cost saving by scaling down instances being deployed for computing.2. Formulated an A/B Testing Framework to monitor business and system metrics such as success rate, and error rate during arelease; Helped identify 85% of issues caused during a release in its beta phase.3. Devised an R Library to facilitate easy-to-create dashboards; Reduced dashboard dev time from 2 weeks to 4 days.

1. Modeled an Anomaly Detection tool to determine outages in business metrics; Tool identified 90% of outages within 30 minutes of occurrence and notified concerned team on slack with details on anomaly.2. Created tools to automate initial phase of analysis; Helped deliver accurate results in half the time.

1. Built a conversion funnel to sketch payment journey of a user and determine reason for dropoff, present product level feedback post analysis; Helped increase conversion rate by 4.5% over a week.