Building extendable, modular backend systems to power future-ready apps and drive digital transformation.

Worked in the Office of Analytics, Technology, and Planning

• Built python packages and machine learning models to reduce the time to predict real world outcomes for vulnerable populations - achieving a 20x reduction in the data extraction and processing time of the ML pipeline.

Worked on improving the codebase for the internal CRM tool.

• Reduced the page load times by 30-70% by optimizing the database queries generated by Django ORM.

• Built a dashboard using React and Django to track key sales conversion metrics.

Working on big data technologies as an Analytical Engineer to solve ETL and Data Warehousing challenges in the pharmaceutical domain.

• Led the development and operationalization of multiple end-to-end data transformation pipelines for downstream analytical use cases (BI dashboards and predictive modelling).

• Spearheaded client discussions and drove user adoption of deployed analytical solutions.

• Built a Master Data Management (MDM) solution using fuzzy matching logic to reduce redundant data records by 40%.

• Created automation scripts related to QC checks, data migration, and database sanitation on AWS Redshift and EMR to reduce manual efforts from 4 hours to 4 minutes.