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Sarthak Mehta

BTech CSE student · Aspiring Data Analyst / Business Analyst

New Delhi, India

@sarthak_mehta

LinkedIn

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🎓 B.Tech in Computer Science and Engineering at HMR Institute of Technology and Management · Graduated 2023

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About

BTech Computer Science and Engineering student with hands-on experience in data analysis and dashboard development. Skilled in Excel, SQL, Power BI, Python, and data visualization, with a strong foundation in problem-solving, programming, and database concepts.

Education

  • Class 12th
    St. Angel’s Sr. Sec. School
    2022 – 2023
  • B.Tech in Computer Science and Engineering
    HMR Institute of Technology and Management
    Computer Science and Engineering (CSE) · 2023

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
C SQL CSS Oop HTML Python Pandas JavaScript Statistics Matplotlib Data Analysis Data Cleaning Web Technologies Data Visualization Business Reporting Artificial intelligence Exploratory Data Analysis Database Management Systems Data Structures and Algorithms

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git GitHub VS Code PostgreSQL Microsoft Excel Microsoft Power BI

Projects

  • E-Commerce Data Analysis & Customer Insights
    SQL, Excel, Python, Power BI

    Queried e-commerce order data using SQL to analyze sales, customers, products, categories, and geographic performance. Performed data cleaning, aggregation, filtering, and exploratory analysis to identify revenue and customer trends. Used Python with Pandas for data preprocessing and analysis and Matplotlib for visual exploration. Developed a Power BI dashboard to present sales KPIs, top products, category performance, and customer insights.

  • Sales Performance Analysis & Power BI Dashboard
    Excel, SQL, Power BI

    Cleaned and transformed sales data using Excel and SQL to prepare analysis-ready datasets. Analyzed sales, revenue, product categories, cities, and customer-level trends to identify performance patterns. Built an interactive Power BI dashboard with KPI cards, filters, charts, and category/region-level analysis. Created business-focused visualizations to support sales performance monitoring and data-driven decision-making.

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