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Data Analyst with less than a year in SQL, Python, Power BI & Data Visualization
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M.A. graduate with strong analytical and problem-solving skills, equipped with knowledge of statistics, data visualization, and SQL/Python. Experienced in handling academic projects involving data collection, interpretation, and reporting. Proficient in Excel, Power BI, KPI tracking, dashboard development, and reporting automation with a keen interest in transforming raw data into actionable insights. Seeking an entry-level Data Analyst role to apply academic expertise and contribute to data-driven decision-making.
Dyal Singh College, DELHI UNNIVERSITY
BA ECONOMICS -ARTS · Economics-Arts
August 1, 2021 – June 30, 2024
Maharshi Dayanand University, Haryana
MA ECONOMICS-ARTS · Economics-Arts (Econometrics, Data analysis, Statistical method, Microeconomics and Macroeconomics theory)
N/A – Present
CodePulse IT Services
Data Analyst Intern
July 1, 2025 – January 5, 2026
India
Sales Analysis by State & City
June 30, 2026 – Present
Developed an interactive Power BI dashboard to analyze sales performance across multiple states and cities. Created KPIs including Total Sales, Total Orders, and Average Sales per City to measure regional performance. Built visualizations such as maps, bar charts, and trend lines to identify top-performing states and high-revenue cities. Provided data-driven insights to support regional sales strategy and performance optimization.
View ProjectSales,Product, Customer Analysis Project
June 30, 2026 – Present
Analyzed a sales database containing 60,366 items across 1,126 customer orders. Evaluated total revenue of ₹29,350,285 to assess overall business performance. Wrote 15 SQL queries in MySQL using JOIN, GROUP BY, HAVING, subqueries, and aggregate functions to extract business insights. Identified top-performing products, high-value customers, and order trends to support data-driven decision-making.
View ProjectMobile Sales Dashboard
June 30, 2026 – Present
Designed and developed an interactive Power BI dashboard to analyze mobile sales performance. Created KPIs such as Total Sales, Total Orders, Total Quantity Sold, and Average Sales Value. Used DAX functions to calculate measures and improve reporting accuracy. Performed data cleaning and transformation using Power Query.
View ProjectPizza Database Project
June 30, 2026 – Present
Analyzed 10,472 total orders to evaluate customer purchasing patterns and overall sales performance. Generated 817,860 total revenue through detailed revenue and product-level analysis. Wrote 11 SQL queries using JOIN, GROUP BY, and aggregate functions to calculate key metrics such as Total Revenue, Average Order Value, and Top-Selling Pizzas.
View ProjectDeloitte Data Analytics Virtual Internship
Forage
June 1, 2026 – Present
Certification of appreciation for an active member on duty throughout the event
Connecting Dream Foundation,Dyal Singh College (Delhi University)
June 1, 2026 – Present
Employability Skill Training Program
Mahindra Pride Classroom (Naandi Foundation)
January 1, 2024 – January 1, 2025
Cultural Fit Analysis
The candidate's academic projects show a diverse application of data analysis techniques across different business scenarios (pizza sales, mobile sales, regional sales). Their involvement in a virtual internship and an employability skill training program suggests a proactive approach to professional development and a willingness to adapt to industry demands. The candidate's background in Economics aligns well with roles requiring analytical rigor and data-driven decision-making. The breadth of tools (SQL, Power BI, basic Python) indicates adaptability and a foundational understanding of various data analysis ecosystems.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, attention to detail, and communication skills, which are crucial for a Data Analyst role. Their academic projects highlight an ability to work with real-world datasets and translate data into actionable insights. The internship experience, though brief and general, reinforces these soft skills. The candidate's pursuit of a Master's degree in Economics further indicates a commitment to continuous learning and a strong theoretical foundation for data analysis.