💡Projects
BTech graduate and aspiring Data Analyst with hands-on experience in Power BI, Excel, SQL, and Python through real-world capstone and mini-projects. Skilled in data cleaning, data visualization, and deriving actionable insights to support strategic business decisions. Strong analytical thinking, attention to detail, and a continuous learner passionate about solving data-driven problems. Also familiar with GitHub for version control and actively participated in hackathons and online certifications to stay industry-ready.
SQL, Power BI, MS Excel, Python
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Conducted end-to-end sales data analysis for Blinkit, improving data consistency and enabling accurate KPI calculations from a dataset of over 8,500 records.
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Developed key performance metrics and facilitated performance tracking across 8+ store locations to support data-driven business strategies.
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Created dynamic dashboards in Power BI and Excel to visualize trends and identify the top 5 profitable item types for strategic decision-making.
SQL, Power BI, MS Excel, Python
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Analyzed a banking dataset of over 10,000 customers to assess loan behavior and minimize lending risks through effective risk segmentation.
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Developed a multi-page Power BI dashboard with 15+ KPIs, enhancing stakeholder visibility into financial performance.
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Improved risk profiling accuracy by 20% through correlation analysis and income-based segmentation, enabling data-driven decision-making.
Python, EDA
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Conducted comprehensive sales data analysis using Python, leveraging libraries like Pandas and Matplotlib to uncover insights into sales performance, customer behavior, and product trends.
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Developed key metrics and visualizations, including total sales revenue, customer segmentation, and seasonal trends, to support data-driven decision-making for business strategies.
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Created a user-friendly Jupyter Notebook for interactive analysis, enabling stakeholders to explore findings and make informed decisions based on the data.
