About Me
MCA student specializing in Data Analytics and Machine Learning. Skilled in Python, data visualization, and extracting insights from data. Passionate about solving real-world problems using data-driven solutions.
Projects
Customer Segmentation using K-Means
Machine learning project that segments customers using K-Means clustering and determines optimal clusters using the Elbow Method.
Tools Used: Python, Pandas, NumPy, Matplotlib, Scikit-learn
Dataset: Mall Customer Segmentation Dataset
Insight: Customers were grouped into 5 clusters based on annual income and spending score to help businesses target marketing strategies.
Elbow Method
Customer Segmentation Clusters
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Superstore Sales Analytics Dashboard
Interactive Power BI dashboard analyzing retail sales data across regions, categories, and time periods to uncover key business insights and performance trends.
Tools Used: Power BI, Excel
Dataset: Superstore Sales Dataset
Insight: •Identified top-performing product categories and regions, tracked KPIs like revenue, profit, and discount impact to support data-driven business decisions.
Dashboard Preview
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Skills
Python • Data Analytics • Power BI • Machine Learning • Pandas • NumPy • Matplotlib