Abhisanth K.v

Power BI Analyst

Talent

IndoreMember since 20 May 2026

Power BIDAXPower QueryKPI TrackingAdvanced ExcelPivot TablesVBA MacrosSQLPython

Hire this person

Send a job offer directly to this candidate

Power BIDAXPower QueryKPI TrackingAdvanced Excel

About

Economics graduate and Power BI Analyst with 6+ months of hands-on internship experience building dashboards, automating reports, and transforming raw business data into actionable insights. Expert in Power BI (DAX, Power Query), Advanced Excel (VBA, Macros, Pivot Tables), SQL, and Python. Proven ability to develop KPI dashboards, conduct sales and performance analysis, and deliver data-driven reports that directly influence business decisions — recognised as Best Performer at Elevate Labs for quantified reporting that shaped operational outcomes.

Experience

Data Analyst Intern - AiSPRY Technologies

(2025-12 - 2026-02)

Developed Power BI dashboards tracking 8+ KPIs — including performance metrics, trend analysis, and exception reports — enabling senior management to monitor outcomes and make data-driven decisions.
Built automated reporting workflows using Power Query and DAX formulas, reducing manual reporting effort and improving report turnaround time significantly.
Performed data cleaning and transformation on 10,000+ row datasets using Python and Excel, achieving 95%+ data consistency — ensuring accurate, audit-ready outputs across 2 concurrent projects.
Conducted EDA to identify performance trends, cost patterns, and operational gaps, delivering actionable recommendations that influenced resource utilization strategy.
Standardised data pipelines using Python and Excel, improving data integrity and enabling reliable profitability and margin tracking.

Data Analyst Intern - Elevate Labs (Skill India / MSME, Govt. of India)

(2025-05 - 2025-06)

Designed interactive Power BI dashboards with real-time KPI tracking, enabling stakeholders to monitor sales performance, business trends, and operational metrics with minimal manual effort.
Analysed business datasets using SQL, Python, and Excel to identify sales trends, customer patterns, and financial anomalies — directly informing business and reporting decisions.
Improved data accuracy by 20%+ through systematic data validation and cleaning pipelines — ensuring high-integrity inputs for dashboards and financial reports.
Awarded Best Performer recognition among all interns for delivering quantified performance reports that directly influenced operational and business outcomes.