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SY

Sarthak Yadav

Data Analyst Intern · SQL, Python, Power BI

Pune, Maharashtra, India

@sarthak_yadav

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About

Data analyst with experience in SQL, Python, Excel, and Power BI, focused on data cleaning, EDA, dashboarding, and turning data into actionable business insights. Works on reporting and analysis to support data-driven decision-making and business growth.

Experience

  • Data Analyst Intern
    NMD Infotech · Pune
    Dec 2025 – Jun 2026

    Analyzed and processed datasets of 5,000+ records using SQL, Python, and Excel to generate actionable insights. Developed reports and dashboards to support data-driven decision-making, improving reporting efficiency by 15%. Performed data cleaning, transformation, and EDA to identify key trends and patterns. Collaborated with cross-functional teams to deliver insights and improve business performance.

Education

  • B.Tech
    Terna College of Engineering
    Computer Science Engineering
  • Diploma
    Government Polytechnic, Pune
    Information Technology

Skills

6 to 12 months 6 to 12 months Most of a year behind them.
SQL Python Reporting Data Cleaning Data Engineering Feature Engineering
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
ETL CI/CD Business Insight Data Visualization

Tools / apps / platforms

6 to 12 months 6 to 12 months Most of a year behind them.
Microsoft Excel
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git MySQL Docker VS Code Kubernetes MySQL Workbench Microsoft Power BI Amazon Web Services AWS

Projects

  • Customer Segmentation Analysis
    Python, SQL

    Analyzed data using Python and SQL, conducted EDA and data cleaning, derived insights on customer behavior and segmentation, and supported targeted marketing and customer retention strategies.

  • Sales & Business Insights Dashboard
    Power BI, DAX

    Interactive dashboard analyzing sales, profit, and regional performance. Created KPIs using DAX and performed data cleaning and transformation to identify trends and support revenue growth and decision-making.

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