Pranoy Mukherjee

Operations Associate

West Bengal, India5 yrs 6 mos experience

Highly Stable

Key Highlights

5+ years of experience in BI solutions.
Expert in Power BI and SQL for data analysis.
Proven ability to design intuitive dashboards.

Stackforce AI infers this person is a Business Intelligence Developer with strong SQL and Power BI expertise.

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Skills

Core Skills

Microsoft Power BiSqlData Cleaning

Other Skills

Power BI DesktopPower BI ServiceDAXPower Query (M)Data TransformationData ModelingTableauLooker StudioStatistical Data AnalysisKPI ReportingPandasNumPyMicrosoft ExcelPython (Programming Language)Hypothesis Testing

About

Power BI Developer & SQL Data Analyst with 5+ years of experience in building interactive dashboards, semantic data models, and scalable BI solutions. Strong expertise in Power BI Desktop, Power BI Service, DAX, Power Query (M), and SQL. Experienced in ETL processes, data warehousing concepts, and developing optimized analytical models to drive business insights. Proven ability to design intuitive dashboards, implement row-level security, and manage end-to-end BI deployments.

Experience

5 yrs 6 mos

Total Experience

5 yrs 6 mos

Average Tenure

5 yrs 6 mos

Current Experience

Cognizant

Associate

Dec 2020 – Present · 5 yrs 6 mos · Bangalore Urban, Karnataka, India · Hybrid

Developed and deployed interactive dashboards using Power BI Desktop and Power BI Service, improving reporting efficiency by 30%.
Designed semantic data models using star schema and optimized relationships for large datasets.
Created advanced DAX measures, KPIs, and calculated columns for business-critical reporting.
Built and optimized complex SQL queries for data extraction, transformation, and validation.
Developed Power Query (M) transformations for data cleansing, shaping, and integration from multiple sources.
Implemented row-level security (RLS) and managed workspace-level access control.
Configured data gateways, scheduled refreshes, and report deployments in Power BI Service.
Designed intuitive dashboards following UX best practices with drill-down, filters, and dynamic visuals.
Automated reporting workflows, reducing manual effort and improving data accessibility.
Collaborated with stakeholders to gather requirements and deliver scalable BI solutions.