Himanshu Chaudhary

Data Analyst

0+ yrs exp 82 · Excellent

About

Data Analyst working with SQL, Power BI, and Advanced Excel to clean, validate, and analyze large datasets, build KPI dashboards, and turn raw data into reporting that supports business decisions. Comfortable working across MIS reporting, dashboard development, and data validation in fast-paced, compliance-driven environments.

Skills & Expertise (45)

Power BI Intermediate

6.5/10

Years Exp

SQL Intermediate

6.3/10

Years Exp

Data Reporting Intermediate

6.0/10

Years Exp

DAX Intermediate

6.0/10

Years Exp

Data Visualization Intermediate

6.0/10

Years Exp

Data Cleaning Intermediate

6.0/10

Years Exp

Python Intermediate

5.5/10

Years Exp

Data-driven decision making MIS Reporting Executive Reporting Automated Reporting EDA Statistical Analysis Trend Analysis Root Cause Analysis Business Insights Governance Stakeholder Reporting Jupyter Notebook Google Sheets GitHub Microsoft Office Suite ChatGPT Claude Microsoft Copilot Power Pivot MySql Pandas NumPy Matplotlib Seaborn Data Modeling Power Query Tableau Advanced Excel Dashboard Development Pivot Tables XLOOKUP Index-match Macros Data Validation Data Wrangling Reconciliation Quality assurance KPI Dashboards

Work Experience

Senior Associate - Exam Integrity Analyst

Magic EdTech

May 2026 - Present

Analyze 50,000+ exam records using SQL and Power Query to identify integrity anomalies and support compliance and audit reporting. Build and maintain real-time Power BI dashboards (DAX) tracking multiple integrity KPIs, giving leadership continuous visibility into performance trends. Automated recurring MIS reporting using Power Pivot and Excel macros, cutting report generation time by ~40% and improving reporting accuracy. Use ChatGPT and Microsoft Copilot to speed up SQL query drafting, Excel formula building, and report documentation, while personally validating all outputs for accuracy.

Quality Invigilator

ETS India

Nov 2025 - May 2026

Built a structured MIS reporting system in Excel (Pivot Tables, VLOOKUP) to track session and incident logs, reducing discrepancies by 30%. Used SQL queries and Power Query for trend analysis, enabling proactive root cause analysis and reducing incident recurrence. Validated and reconciled exam records across multiple datasets, improving data accuracy before findings were escalated to stakeholders. Used Claude to help summarize findings and structure incident-log documentation, improving reporting turnaround.