| ποΈ Databases & SQL |
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| βοΈ Spreadsheets & Automation |
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| π Programming & Data |
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| π BI & Visualization |
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| π€ ML & Tools |
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| ποΈ Databases & SQL |
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| βοΈ Spreadsheets & Automation |
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| π Programming & Data |
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| π BI & Visualization |
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| π€ ML & Tools |
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E-Commerce Sales Analysis using Oracle SQL β customer behavior, product performance, return analysis
Exploratory data analysis of Instacart grocery orders β data cleaning, missing-value handling, and customer/product behavior insights
Movie ratings analysis using Polars and Plotly on the MovieLens dataset Polars + Plotly analysis of 100K MovieLens ratings β data cleaning, EDA, and rating/popularity correlation (r=0.127)
Jupyter Notebook 2
Comprehensive video game sales analysis using Python, Pandas, SciPy, and Plotly, covering data cleaning, EDA, statistical testing, platform and genre trends, regional sales, correlations, and key mβ¦
Jupyter Notebook 2
End-to-end cohort, statistical,RFM & retention analysis on a 286K-row e-commerce dataset (pandas, Plotly) β reveals ~94% one-time-buyer churn and revenue concentration in top customer segments.
Jupyter Notebook 2
HR attrition analysis on a 10,000-employee dataset β Python, Plotly, and statistical testing (Chi-Square, Spearman) to examine how department, role, income, and satisfaction relate to employee turnβ¦
Jupyter Notebook 2