Sabarno Das

I’m a results-driven Database Analyst and Jr. Data Scientist focused on PostgreSQL performance, from query optimization to indexing and execution plan tuning. I enjoy turning slow, complex workloads into stable, fast systems using EXPLAIN ANALYZE and careful database internals.

In my current role as a Jr. Data Scientist Intern, I’ve written and optimized 50+ PostgreSQL queries (window functions, CTEs, multi-table joins), improving performance by 40%. I analyze slow query logs and metrics to find bottlenecks, then implement B-tree and partial indexes that eliminate full-table scans on critical reporting paths.

I also build decision-ready insights: I performed EDA on 100,000+ record datasets with Python (Pandas, NumPy) and created Power BI dashboards using DAX, cutting manual reporting time by 60%. I’ve automated ETL pipelines for 20+ datasets weekly with 99.5% accuracy, and I communicate findings clearly in customer-facing stakeholder meetings.

My projects sharpen my focus on real-time and time-series data with TimescaleDB (hypertables, continuous aggregates) and PL/pgSQL. For example, I delivered traffic flow prediction and anomaly detection with 92% forecasting accuracy and 95% anomaly detection, and I’ve improved API response times by 35% by diagnosing latency via Browser DevTools and optimizing PostgreSQL schemas.