Srihari Kamath

About

Analytics professional with experience spanning infrastructure, energy, and digital engagement data. They have built SQL and Python workflows to turn messy operational data into trusted reporting assets, and led a wind turbine SCADA analysis that quantified roughly $1M in cumulative performance loss and translated findings into actionable Power BI dashboards.

Key Strengths

• Built SQL workflows to clean and standardize messy multi-source data for reporting
• Strong data validation approach using row counts, aggregate checks, record sampling, and stakeholder KPI confirmation
• Optimized reporting-table performance through early filtering, reduced joins, and intermediate tables
• Developed reproducible Python analytics pipelines for extraction, cleaning, validation, and reporting
• Improved KPI reporting speed and trustworthiness by replacing manual data preparation with automation
• Delivered near real-time performance reporting that helped stakeholders identify underperforming areas faster
• Owned end-to-end wind turbine analytics project from problem framing to dashboard delivery
• Quantified operational impact by identifying about $1M in cumulative wind turbine performance loss
• Applied segmentation and time series analysis to isolate persistent inefficiencies versus isolated anomalies
• Designed engagement metrics in Power BI using Google Analytics, including retention and repeat user rate
• Handled metric edge cases thoughtfully by excluding bounced or very short sessions to avoid misleading signals

Experience

Education

Skills

Languages