Data Analyst with less than a year in SQL & Power BI
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Assessing your cultural and operational fit
Detail-oriented Data Analyst with a B.Tech in Information Technology and strong expertise in SQL, Python, and Power BI. Skilled in data cleaning, exploratory data analysis (EDA), and dashboard creation to uncover meaningful business insights. Hands-on experience with real-world datasets using Pandas, NumPy, and Excel. Passionate about leveraging data to drive decision-making and solve complex business problems.
JSS Academy Of Technical Education, Noida
Bachelor Of Technology · Information Technology
November 1, 2022 – August 1, 2025
Board of Technical Education, Lucknow
Diploma · Civil Engineering
August 1, 2019 – July 1, 2022
Astron Financial Advisor
Intern-Full Stack Developer
July 1, 2025 – August 1, 2025
India
End-to-End Sales Data Analysis
June 24, 2026 – Present
This project demonstrates a complete end-to-end data analysis workflow, starting from data extraction to generating business insights. The dataset was programmatically fetched using the Kaggle API, processed and cleaned using Python in Jupyter Notebook, and then loaded into MySQL for advanced SQL-based analysis. The goal of the project is to analyze retail sales data and extract meaningful insights related to product performance, regional trends, and business growth.
View ProjectSales Analysis Dashboard
June 24, 2026 – Present
Developed an interactive sales dashboard in Power BI to track key metrics such as total sales and profit using an Excel dataset (~500 records). Performed trend analysis across time, cities, and products, and created visualizations like line, bar, and donut charts. Implemented slicers for dynamic filtering and identified top-performing products and revenue-driving cities.
View ProjectBlinkit Sales Analysis Dashboard
June 24, 2026 – Present
Developed an interactive dashboard in Power BI using Blinkit Grocery data (~8500+ records) to analyze key metrics such as total sales, average sales, item count, and customer ratings. Performed analysis across outlet types, sizes, and item categories, and created visualizations to identify sales trends and product performance. Implemented dynamic filters for user-driven insights and highlighted key factors influencing revenue and outlet performance.
View ProjectPostgreSQL
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a clear interest and focus on data analysis, which aligns well with the target role. The diversity in project scope (Blinkit sales, general retail sales) and tools used (Power BI, Excel, Python, SQL) indicates a breadth of technical exposure relevant to data analysis. The full-stack development internship, while not directly a data analyst role, shows versatility and a willingness to learn different technical domains, which can be a positive for adaptability. However, the experience level is low, suggesting a need for mentorship and structured team environments.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work with real-world datasets and a focus on extracting meaningful business insights, suggesting a results-oriented approach. The mention of using GitHub and Slack in a project implies some familiarity with collaborative tools, which is positive for operational fit. However, without direct assessment data on communication or teamwork, it's difficult to fully gauge soft skills.