AJAY SURVE.
01I’m a Business and Data Analyst with an M.S. in Business Analytics from Arizona State University and close to four years across BFSI, marketing, and growth analytics. I work the full width of a data problem: scoping it with stakeholders, writing the SQL and building the models, then standing up the pipelines and cloud infrastructure underneath. That range, from the business question down to the data engineering, is what lets me ship analysis that is fast, trustworthy, and ready to act on.
- Engineered advanced SQL and Snowflake queries and transformation logic, reducing manual data-correction and reconciliation cycles by 35% across operational datasets.
- Optimized data extraction and analytical querying on multi-gigabyte operational tables, cutting report generation latency and manual processing overhead by 40%.
- Deployed 5+ self-serve Power BI operational dashboards connected to cloud data warehouses, providing 100% real-time visibility across cross-functional revenue and supply chain KPIs.
- Executed granular root-cause and variance analyses on large-scale logistics telemetry, surfacing key profitability drivers that improved resource allocation efficiency by 25%.
- Integrated GenAI-assisted development workflows to accelerate complex SQL script writing, query debugging, and data validation by 30%.
Wrote SQL to segment marketplace listings and ran deep dives on enforcement performance for enterprise clients; built Power BI dashboards and supported the Milano Cortina 2026 brand-protection programme.
Analysed marketing and campaign performance, built segmentation and lifecycle cohorts, and evaluated efficiency metrics (CAC, ROAS) to sharpen targeting and budget allocation across BFSI clients.
Ran deep-dive root-cause analysis on large operational datasets, queried data in SQL to surface trends and drivers, and built self-serve Power BI dashboards for cross-functional teams.
