niranjan910/FNP-Excel_Analysis

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niranjan910/NiranjanDataAnalystPortfolio.github.io

Data Analytics Portfolio 2025

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niranjan910/niranjan910

Data Analytics Github Profile

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niranjan910/Workplace-Insights-Report

Analyzed workplace factors affecting employee well-being.

Language: Jupyter Notebook - Size: 6.95 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

niranjan910/T20-Cricket-Performance-Analysis

Uncover key T20 cricket match insights with deep player, team, and performance analytics.

Language: Jupyter Notebook - Size: 34.2 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

niranjan910/AI_CareerScope_Analysis

End to End Project using Python, Power Bi to complete the Data analysis for current job market

Language: Jupyter Notebook - Size: 6.33 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0

niranjan910/UK_Retail_Analytics

A Power BI analytics project analyzing 500K+ UK retail transactions to uncover sales trends, customer behavior, and revenue optimization opportunities.

Size: 116 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

niranjan910/AI-Lung-Diagnostics

SQL-driven data mining & interactive Power BI dashboards for lung cancer detection.

Size: 2.46 MB - Last synced at: 19 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

niranjan910/COVID-19_Hospitalization_Rates_Analysis

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

niranjan910/U.S._Electric_Vehicle_Adoption_Analysis

Electric Vehicle Adoption Analysis Using Python & SQL

Language: Jupyter Notebook - Size: 102 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

niranjan910/Marketing-Anlysis

Power BI Sales Intelligence Dashboard for a Multinational Grocery Retail Chain

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niranjan910/Bank-loan-prediction

This project performs an in-depth data analysis on bank loan applications to uncover patterns and factors affecting loan approval rates

Language: Jupyter Notebook - Size: 5.59 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

niranjan910/UPI-Transaction-Data-Analytics

Performed end-to-end exploratory data analysis on UPI transaction data using Python to uncover customer behavior patterns.

Language: Jupyter Notebook - Size: 601 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

niranjan910/US-Accident-Analytics

A countrywide collection of 1.5 million traffic accidents across 49 US states (Contiguous US), recorded from February 2016 to December 2023.

Language: Jupyter Notebook - Size: 2.33 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

niranjan910/E-commerce-Return-Rate-Analysis

A 2,000-record e-commerce dataset for product pricing, ratings, reviews, delivery, and returns—ideal for data cleaning and EDA.

Language: Jupyter Notebook - Size: 7.86 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

niranjan910/The-Rollercoaster-Database

This project analyzes a global rollercoaster dataset to uncover design evolution, geographic trends, and performance benchmarks. Leveraging Python-driven EDA, it delivers actionable insights for amusement industry stakeholders and enthusiasts to optimize ride innovation and park strategies.

Language: Jupyter Notebook - Size: 902 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

niranjan910/Sea-Level-Predictor

This script analyzes sea level rise (1880–present) and predicts future trends using linear regression. It plots a scatter plot with two best-fit lines—one using all data and another from 2000 onward.

Language: Python - Size: 7.81 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

niranjan910/AI-Job-Market-Analysis-2025

An analytical deep dive into global AI job trends, revealing how roles, experience, and remote flexibility influence salary patterns in 2025.

Language: Jupyter Notebook - Size: 1.94 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

niranjan910/Student-performance-Analysis

Analyzed factors like study habits, attendance, and parental involvement to identify key drivers of student performance and flag at-risk students using data-driven insights.

Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

niranjan910/Heart-Stoke-Prediction-Analysis

Data-Driven Health Decisions

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niranjan910/Big_Basket_inventory_analysis

Size: 6.95 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

niranjan910/Sleep_pattern__Analysis

This data analytics project explores sleep habits using Python (Pandas, Matplotlib) and Excel to uncover trends in sleep quality and duration. Includes dataset, Jupyter Notebook analysis, and presentation with key insights.

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niranjan910/BigBasket-Grocery-Trends

Size: 13.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

niranjan910/Page-View-Time-Series-Visualizer

This script analyzes time series data of daily page views on the freeCodeCamp forum from 2016-05-09 to 2019-12-03. It visualizes trends using line plots, bar charts, and box plots to identify yearly and monthly patterns. The script uses Pandas for data manipulation and Matplotlib/Seaborn for visualization.

Language: Python - Size: 0 Bytes - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

niranjan910/Medical-Data-Visualizer

This project analyzes medical examination data using Pandas, Matplotlib, and Seaborn. It visualizes health trends related to cardiovascular disease, BMI, cholesterol, blood pressure, and lifestyle factors, providing insights through categorical plots and heatmaps.

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niranjan910/Demographic-Data-Analyzer

This project analyzes demographic data from the 1994 Census using Pandas. It calculates race distribution, average age, education levels, income stats, and work hours to identify key trends.

Language: Python - Size: 3.91 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

niranjan910/mean_var_std.py

This Python script implements a function calculate() that takes a list of nine numbers, reshapes it into a 3x3 NumPy array, and computes statistical metrics (mean, variance, standard deviation, max, min, and sum) along both axes and for the entire matrix.

Language: Python - Size: 3.91 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0