Nayann Srivastava

I’m a Data Analyst focused on turning raw data into automated KPI dashboards and actionable business insights. I use SQL and Python to extract, transform, and optimize analytics pipelines that directly improve how teams operate.

At Akal InfoSystem Ltd, I led analytics-driven process optimization across mining operations, streamlining registration, permit approvals, and challan workflows. I cut delays by 25%, strengthened regulatory compliance, and improved transaction outcomes—supported by SQL (analytical functions, DML) and Python (Pandas, Matplotlib).

Previously at Mu Sigma, I worked on sales forecasting and churn mitigation, using segmentation, pricing optimization, and forecast-based strategies to reverse sales decline. I adopted Power Query and Power BI for EDA and automated dashboards, reducing reporting time by 20% while delivering strong forecasting accuracy and ROI growth.

Across projects like Media Analytics, Ed-Analytics, and Tech-Analytics, I apply statistical and dashboarding approaches to identify retention drivers, graduation blockers, and fraud patterns. I consistently aim to deliver measurable impact—whether that’s higher efficiency, improved loyalty, or data-backed decisions teams can act on quickly.