Radhika Agarwal

Radhika Agarwal

@radhikaagr03

Leveraging data science and analytics to uncover insights and drive decision-making. Skilled in Python, R, SQL, and visualization tools like Tableau.

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Language Breakdown

Lines of code distribution across 9 owned repositories

325K Total LOC
Jupyter Notebook
286,840 lines
88.2%
N/A
Python
38,529 lines
11.8%
N/A
I

I-Shaped Developer

I-shaped

Specialist — deep expertise in Jupyter Notebook

Jupyter Notebook
Python

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Radhika Agarwal
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10

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Top Repositories

NBA-Data-Analysis

The objective of this project is to analyze NBA data to gain insights into player performance, team dynamics, and game outcomes. By utilizing a relational database and SQL queries, the project aims to provide data-driven insights that can inform decision-making in sports analysis.

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A-Visual-Impact-on-New-York-s-Creative-Pulse

To visually represent the revitalization of New York City's artistic community through an interactive data visualization project, focusing on demographic diversity and key performance indicators.

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Data-Driven-Sales-and-Promotional-Analysis

This Tableau data visualization project aims to analyze sales trends, promotional effectiveness, and regional dynamics across various retail product categories to provide actionable insights for business optimization.

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HR_Analytics
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Regression-Analysis-of-Socioeconomic-Factors-and-Health-Insurance-Coverage

Explore the impact of socioeconomic factors on health insurance coverage through regression analysis, aiming to identify key determinants influencing individuals' likelihood of having health insurance.

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Life-Expectancy-and-GDP-Analysis
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Customer-Segmentation-Analysis

Analyzing a customer personality dataset to identify patterns, relationships, and distinct segments based on spending habits, aiming to provide actionable insights for targeted marketing strategies.

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Comparing-Spotify-Playlists-through-Visualizations

Enhanced Spotify's "Blend" feature by developing an interactive dashboard with 10 impactful visualizations, facilitating collaborative playlist analysis and providing insights into musical trends.

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Jupyter Notebook
radhikaagr03
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Open Source Impact

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