
Business Intelligence Analyst
Proficient in Tableau, SQL, and Power BI, she transforms complex data into clear, actionable strategies that empower informed decision-making.
At KMW Industries, her data insights increased in-house production by 170% and reduced rejection rates by 70%. At Micron Technology and Bajaj Auto, she enhanced assembly line yields to 97%, minimized production delays, and achieved substantial cost savings.
With a strong technical foundation and a strategic mindset, Shruti fosters innovation and efficiency through data-driven decision-making.

Standardized KPI definitions across Sales, Finance, and HR by aligning business inputs with DAX logic, ensuring consistent metric calculation across dashboards. • Improved dashboard performance by ~30% through SQL query tuning, data model restructuring, and use of aggregations for large datasets. • Implemented Row-Level Security (RLS) and role-based access controls to enable secure client-specific reporting within shared datasets. • Translated ad-hoc business requests into structured SQL logic and report specifications, reducing UAT rework and improving requirement clarity. • Developed parameter-driven paginated reports for payroll and operations, enabling dynamic filtering and business-friendly output formats. • Validated report outputs against business rules before deployment, reducing post-production data discrepancies.


All Business Intelligence Analysts who have applied to Proxify are scored from 0 to 300 on engineering excellence, one of the five parameters we evaluate. This score reflects engineering excellence only, based on interviews, take-home assignments, live coding sessions, and/or on-the-job performance reviews. The curve shows how all evaluated Business Intelligence Analysts are distributed across that range, where our acceptance threshold for this parameter sits, and where Shruti stands.

Issued Dec 2025 - Expires Dec 2026

Issued Dec 2025 - Expires Dec 2026


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