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VARUN SHARMAVS
Open to opportunities

VARUN SHARMA

@varunsharma6

Aspiring Data Analyst skilled in SQL, Power BI, and Excel for data-driven insights.

India
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What I'm looking for

I’m looking for an entry-level Data Analyst role where I can use SQL, Power BI, and Excel to derive insights, solve business problems, and support data-driven decision-making through clean analysis and clear dashboards.

I’m an aspiring Data Analyst with hands-on experience building insights through SQL, Power BI, and Excel. I focus on turning raw data into clear answers—through data cleaning, analysis, and business reporting that teams can act on.

In my projects, I worked directly with PostgreSQL to analyze bookstore sales, using JOINs, aggregates, and CASE logic to identify top-selling books, high-value customers, and genre-wise performance. I also built a Power BI sales dashboard, processing 1,000+ records with Power Query and developing an interactive view with 8+ visualizations and 5+ KPI metrics.

Beyond analytics, I bring practical experience from a Digital Marketing Intern role, where I supported SEO and monitored campaign performance using engagement metrics. I’m excited to apply the same structured thinking in an entry-level Data Analyst position—deriving insights, solving business problems, and supporting data-driven decision-making.

Experience

Work history, roles, and key accomplishments

HA

Digital Marketing Intern

Health Advisor

Dec 2019 - Mar 2020 (3 months)

Assisted with SEO activities for a health-focused product startup and managed routine website content updates. Supported a Meta Ads campaign and monitored performance and user engagement metrics.

Education

Degrees, certifications, and relevant coursework

University of Delhi logoUD

University of Delhi

Bachelor of Commerce (Hons), Commerce

2019 - 2022

Grade: CGPA: 7.35

Bachelor of Commerce (Hons) program at University of Delhi (2019–2022) with a CGPA of 7.35.

CX

CBSE Class XII

Class XII (CBSE)

Grade: 84.8%

Completed Class XII (CBSE) with a score of 84.8%.

Tech stack

Software and tools used professionally

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