Harsh Sharma

@harsh19072002

Data Analyst

India
English, Hindi
About me
I am a detail-oriented Data Analyst skilled in Power BI, SQL, Python, DAX, VBA, and ETL. I have extensive experience in dashboard development, automation, data analysis, and KPI reporting. I specialize in delivering actionable business insights and improving reporting efficiency through data-driven solutions and automation scripts.... Read more

Skills

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harsh19072002
Harsh Sharma
Offline • 
Average response time: 1 hour

See my services

Data Analytics Consultation
I will clean, validate, analyze and visualize your data
From$10 / projectMore details
Data Typing
I will extract data from PDF to excel, CSV or word
From$20 / projectMore details

Portfolio

Work experience

Not Found

Full-time • 2 yrs 7 mos

Data Analyst

Apr 2026 - Present • 6 mos

Developed Power BI dashboards to analyze FMCG retail data and deliver actionable business insights. • Built interactive Power BI dashboards to visualize retail survey metrics and business KPIs. • Designed DAX measures and optimized SQL queries for survey analysis and reporting. • Automated data preparation using Python and VBA, improving reporting efficiency. • Generated actionable insights to support retail performance evaluation and business decisions

Data Analyst Intern

Jun 2024 - Dec 2025 • 1 yr 6 mos

 Assisted in data collection, cleaning, and analysis of large datasetsfor multiple projects  Created and maintained dashboards to track key metrics, improving data accessibility for decision-making  Developed analytical reports based on business insightsto support businessstrategies

Data Analyst

Nov 2024 - Jun 2025 • 7 mos

 Utilized Quantum scripting to process and analyze survey data, generating detailed cross-tabulations and custom reports for market research.  Responsible for data validation, cleansing, and transformation to ensure accuracy and consistency in datasets.  Analyze and interpret large, complex datasets, identifying trends and insights to support data-driven decision-making.  Collaborate with cross-functional teams to optimize data workflows and improve reporting efficiency.  Develop and implement automation scripts to streamline data processing and reduce manual efforts.