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🏠 Profile  ·  ⚡ Skill Forge  ·  🧪 Innovation Lab  ·  📊 Data Arena  ·  🚀 LaunchPad


"Numbers don't speak. Visualizations do."

This is my analytics zone. Every repo here takes raw, messy data and turns it into something anyone can read at a glance — charts, dashboards, and stories told through data.


📊 Projects


5 real-world datasets analysed end-to-end — data cleaning, pivot tables, and interactive dashboards in Excel.

Excel Pivot Tables Dashboards Data Cleaning

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5 end-to-end Power BI dashboards across sports, retail, and financial analytics — Power Query transformations, star-schema data modeling,paginated reports, and Power Automate-driven data pipelines powering interactive multi-page dashboards, from IPL match analytics to an automated financial credit-risk reporting system.

Power BI DAX Data Modeling Power Query Paginated Reports Python Automation

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A collection of end-to-end Python data analytics projects covering data cleaning, exploratory data analysis (EDA), statistical analysis, feature engineering, data visualization, and machine learning using real-world datasets.

Python Pandas NumPy Matplotlib Scikit--Learn

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50 Kaggle notebooks across 50 different datasets — EDA, feature engineering, and model comparisons spanning the full data science lifecycle from regression to computer vision.

Python Pandas NumPy Scikit--Learn Kaggle 50 Datasets

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A hospital's Excel-based records migrated into a normalized MySQL schema, with a validation trigger against bad scheduling and stored procedures for role-based doctor access and on-demand department revenue reports.

MySQL Data Migration Triggers Stored Procedures RBAC

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A scraped electronics-marketplace dataset cleaned and analyzed entirely in MySQL — regex-based price and rating extraction, window-function percentiles via a stored procedure, and hand-written covariance, correlation, and regression across univariate, bivariate, and multivariate analysis.

MySQL Data Cleaning Window Functions Stored Procedures Regex Extraction

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About

Index of my data projects — raw datasets explored, transformed, and turned into meaningful insights.

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