Abhishikta Nallagatla

At Amazon, I validate computer vision models and investigate sensor and vision data discrepancies to sustain transaction accuracy across production pipelines.

I've led the rollout of automated anomaly detection, owned reporting on system uptime and transaction success rates, and presented insights in weekly leadership reviews. I also engineer stored procedures and optimize Redshift and Athena SQL queries to streamline extraction from terabytes of data for cross-team reporting.

Previously at TuringMinds.ai, I transformed large-scale datasets with SQL, built interactive Power BI dashboards, and translated complex findings into recommendations for product owners and cross-functional teams.

My work combines data analytics, machine learning support, data integrity audits, and practical projects in customer sentiment analysis and churn prediction.