Meenal Gupta

Data Analyst

Alwar, Rajasthan, 301404 2+ yrs exp 85 · Excellent

About

Data professional with 2+ years of experience in data integration, SQL, and advanced Excel, with hands-on exposure to data analysis and dashboard development. Skilled in extracting, transforming, and preparing large datasets for analysis, and generating actionable insights using Power BI and Excel. Proven ability to optimize queries, improve data quality, and support data-driven decision-making.

Skills & Expertise (35)

Microsoft Power BI Intermediate

7.5/10

Years Exp

Data Visualization Intermediate

7.0/10

Years Exp

Advanced Excel Intermediate

7.0/10

Years Exp

Data Cleaning Intermediate

7.0/10

Years Exp

SQL Intermediate

6.8/10

Years Exp

Python Intermediate

6.5/10

Years Exp

ETL Intermediate

6.0/10

Years Exp

Statistical Analysis Intermediate

6.0/10

Years Exp

MySql Intermediate

6.0/10

Years Exp

MS SQL Server Intermediate

6.0/10

Years Exp

Data Validation Common Table Expressions Indexing Foreign Key Primary Key SUM LAG DENSE_RANK DAX Pandas EDA Data Modeling Power Pivot KPI Reporting Pivot Tables Jupyter Notebook Power Query MS Office filter ARRAYFORMULA Query Google Sheets Excel Dashboards Index-match VLOOKUP

Work Experience

Data Analyst Intern

Grras Solutions Pvt Ltd

Dec 2025 - Jun 2026

Utilized Power Query Editor to standardize and transform raw datasets, enhancing consistency across analytical workflows. Processed and analyzed datasets containing 50K+ records in Excel, enhancing data accuracy and improving reporting efficiency by 25%. Executed data cleaning, transformation, and validation processes using Pandas and SQL, contributing to a 20% reduction in reporting discrepancies and operational risk. Designed interactive Power BI dashboards to track key business KPIs, sales performance, and operational trends, reducing manual reporting efforts by 40%.

Associate Data Integration

Celebal Technologies

Oct 2021 - Sep 2023

Performed data manipulation using SQL to extract, filter, and aggregate data from relational databases. Transformed raw data using Power Query Editor, improving data quality and consistency across reports. Optimized SQL queries, improving data retrieval efficiency by 30%.