At APSSDC, I designed and built Python and SQL ETL pipelines to load datasets into MySQL. The pipelines reduced processing time by 30% and improved data quality by 40%.
I also automated validation and anomaly detection scripts to identify schema drift and missing values. I documented transformation workflows and SQL query templates for team reuse.
As a Data Science / Data Engineering Intern, I worked on data quality and validation alongside data modeling and warehousing. I used Python and SQL to turn data engineering tasks into reusable workflows.
For my Airplane Crash Analysis Safety Insights project, I cleaned and analyzed aviation accident data, created visualizations, and built an interactive Power BI dashboard. I also developed SmartServe, an NLP-based virtual assistant in Python, and tested it to improve response accuracy.
