Hars h P ate l

Analyzed operational and business datasets using SQL, Python, pandas, and NumPy to identify trends, anomalies, and performance gaps across 5+ reporting areas. Developed 8+ Power BI dashboards and KPI reports to track business performance and monitor recurring metrics through centralized reporting. Optimized SQL queries, stored procedures, and data retrieval processes, improving report query performance by 20% on frequently used datasets. Integrated and transformed data from relational databases and cloud sources using ETL workflows across AWS S3, Azure, and Snowflake to support reliable analytical reporting. Automated recurring data preparation and reporting activities using Python scripting and workflow automation, reducing manual reporting effort by 25%. Applied GenAI, Microsoft Copilot, and AI-assisted analysis to accelerate data interpretation, reporting preparation, and insight generation.

Analyzed operational and business datasets using SQL, Python, pandas, and NumPy to identify trends, anomalies, and performance gaps across 5+ reporting areas. Built 8+ Power BI dashboards and KPI reports to track business performance and recurring metrics through centralized reporting. Optimized SQL queries and stored procedures, improving report query performance by 20% across frequently used datasets. Integrated and transformed data from relational databases and cloud sources using ETL workflows, AWS S3, Azure, and Snowflake to support reliable analytical reporting. Automated recurring data preparation and reporting activities using Python scripting and workflow automation, reducing manual reporting effort by 25%. Applied generative AI, Microsoft Copilot, and AI-assisted analytics to accelerate data interpretation, reporting preparation, and insight generation.

Extracted and cleaned data from SQL Server, PostgreSQL, and MySQL using SQL queries to support analysis across 3+ business datasets. Built 5+ Power BI and Tableau reports for KPI monitoring, trend analysis, and ad hoc business reporting with guidance from senior analysts. Performed exploratory data analysis using Python, pandas, and NumPy to identify recurring patterns and discrepancies for business review. Validated and reconciled datasets across multiple sources, improving reporting accuracy by 15% through structured data-quality checks. Supported ETL activities using SSIS, Alteryx, and AWS Glue to ingest, transform, and prepare data for downstream analysis. Prepared analytical findings and recurring reports for stakeholders, contributing to a 20% reduction in manual reporting effort through standardized reporting processes.