Sai Roshan Varma Pandati
Professional Summary
Data Analyst with 3+ years of experience turning large datasets into forecasting, KPI, and cost-reduction insights for executive stakeholders in enterprise and services environments. Skilled in SQL, Python, Power BI and reporting automation; experienced building SLA-driven dashboards, reducing reporting latency, and standardizing variance and reconciliation processes to improve decision-making for sales, revenue, and operations teams.
Technical Skills
Work Experience
- Engineered production SQL queries using CTEs and window functions and applied query-tuning techniques to cut end-to-end reporting latency by 30% across pipelines processing 1M+ daily transactions, enabling faster operational decisions.
- Designed and delivered 12+ SLA-driven Power BI dashboards with custom DAX measures, automating executive reporting and reclaiming ~20 hours/week previously spent on manual Excel workflows.
- Standardized variance analysis and automated reconciliation routines across upstream and downstream systems, reducing manual reconciliation effort by 45% and resolving recurring metric disputes.
- Developed Python data-processing scripts to validate, transform and stage data for BI consumption, improving downstream data quality and reducing time-to-dashboard refresh.
- Implemented query performance monitoring and tuning practices (index analysis, plan review), stabilizing nightly ETL windows and reducing high-latency query incidents.
- Partnered with stakeholders to define KPIs and SLAs, documented measurement definitions, and produced dashboard training materials to increase leadership adoption and measurement consistency.
- Accelerated enterprise client reporting cycles by refactoring SQL joins and optimizing query plans, improving execution times by 20% across business-critical reporting workflows.
- Collaborated with senior engineers to design ETL validation and data-integrity routines across staging and production, preventing 10+ data-quality defects from reaching production environments.
- Developed Power BI reports and automated data extracts to provide near real-time KPI visibility, increasing stakeholder monitoring capabilities and reducing ad-hoc requests.
- Performed root-cause analysis to resolve 50+ data discrepancies and coordinated corrective actions with cross-functional teams to strengthen data trust.
- Delivered 100+ ad hoc SQL data extracts and recurring reports using parameterized queries and scheduled jobs to support business and stakeholder requests.
- Improved dashboard usability and conducted training sessions that increased report adoption and reduced reliance on manual reporting spreadsheets.
Education
Certifications
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