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Raj Kishore Agrawal

Data Anlayst
Infosys
About Raj Kishore
Comprehensive Sales Analysis and Insights for Pizzeria Operations
Comprehensive Sales Analysis and Insights for Pizzeria OperationsThis project focuses on analyzing sales data from a pizzeria to uncover actionable insights for improving business performance. Using Power BI, we performed data modeling, calculated key metrics, and created interactive dashboards to visualize trends. The
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Comprehensive Sales Analysis and Insights for Pizzeria Operations
Comprehensive Sales Analysis and Insights for Pizzeria OperationsThis project focuses on analyzing sales data from a pizzeria to uncover actionable insights for improving business performance. Using Power BI, we performed data modeling, calculated key metrics, and created interactive dashboards to visualize trends. The
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Restaurant_Database
Restaurant_DatabaseSQL Queries to generate insight or solve questions to help business
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Restaurant_Database
Restaurant_DatabaseSQL Queries to generate insight or solve questions to help business
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Spotify Listening Behavior Analysis
Spotify Listening Behavior AnalysisAnalyzed 12 years of Spotify user data (2013–2020) to uncover key listening trends, engagement patterns, and time-based habits. Utilized Excel for data cleaning and Power BI for creating interactive dashboards. Insights revealed The Beatles and The Killer
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Spotify Listening Behavior Analysis
Spotify Listening Behavior AnalysisAnalyzed 12 years of Spotify user data (2013–2020) to uncover key listening trends, engagement patterns, and time-based habits. Utilized Excel for data cleaning and Power BI for creating interactive dashboards. Insights revealed The Beatles and The Killer
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Sales and Customer Analysis for Sweet Candy Store
Sales and Customer Analysis for Sweet Candy StoreAnalyzed Sweet Candy Store's sales and customer trends using Power BI. Identified top products (Lickable Wallpaper), high-revenue regions (Interior: $32K), and shipping preferences (Standard: 6.1K orders). Recommended targeted campaigns, bundling strategi
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Sales and Customer Analysis for Sweet Candy Store
Sales and Customer Analysis for Sweet Candy StoreAnalyzed Sweet Candy Store's sales and customer trends using Power BI. Identified top products (Lickable Wallpaper), high-revenue regions (Interior: $32K), and shipping preferences (Standard: 6.1K orders). Recommended targeted campaigns, bundling strategi
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Maven Toy Store Analytics: A Comprehensive Sales and Performance Analysis Using Power BI
Maven Toy Store Analytics: A Comprehensive Sales and Performance Analysis Using Power BIAnalyzed Maven Toy Store's data using Power BI with a star schema model. Cleaned and transformed data from five tables, created calculated columns, DAX measures, and KPIs. Delivered insights on top products, store performance, and category trends to optim
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Maven Toy Store Analytics: A Comprehensive Sales and Performance Analysis Using Power BI
Maven Toy Store Analytics: A Comprehensive Sales and Performance Analysis Using Power BIAnalyzed Maven Toy Store's data using Power BI with a star schema model. Cleaned and transformed data from five tables, created calculated columns, DAX measures, and KPIs. Delivered insights on top products, store performance, and category trends to optim
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GoodCab's Project - Provide insights to Cheif of Operation in Transportation Domain
GoodCab's Project - Provide insights to Cheif of Operation in Transportation DomainAnalyzed Goodcabs' 2023 performance across 10 cities, evaluating trip volumes, revenue, ratings, and demand patterns. Recommended city-level strategies like loyalty programs, safety features, and driver recruitment to boost retention, revenue, and growth
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GoodCab's Project - Provide insights to Cheif of Operation in Transportation Domain
GoodCab's Project - Provide insights to Cheif of Operation in Transportation DomainAnalyzed Goodcabs' 2023 performance across 10 cities, evaluating trip volumes, revenue, ratings, and demand patterns. Recommended city-level strategies like loyalty programs, safety features, and driver recruitment to boost retention, revenue, and growth
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Gen-Z Career Aspiration Analysis: Insights into Preferences and Influences
Gen-Z Career Aspiration Analysis: Insights into Preferences and InfluencesGen-Z Career Aspiration Analysis This project analyzes Gen-Z respondents in India, exploring career aspirations, job preferences, salary expectations, and influences. Using SQL queries, data visualization, and Excel dashboards, it reveals insights i
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Gen-Z Career Aspiration Analysis: Insights into Preferences and Influences
Gen-Z Career Aspiration Analysis: Insights into Preferences and InfluencesGen-Z Career Aspiration Analysis This project analyzes Gen-Z respondents in India, exploring career aspirations, job preferences, salary expectations, and influences. Using SQL queries, data visualization, and Excel dashboards, it reveals insights i
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Tailwind-Traders-Data-Analysis-PowerBI-Project /Microsoft Capstone Project
Tailwind-Traders-Data-Analysis-PowerBI-Project /Microsoft Capstone ProjectThis Project is Part of my Coursera Microsoft - Deploy and Maintain Power BI Assets and Capstone project. Certificate Link - https://www.coursera.org/account/accomplishments/verify/KIWPCOT1FK2J
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Tailwind-Traders-Data-Analysis-PowerBI-Project /Microsoft Capstone Project
Tailwind-Traders-Data-Analysis-PowerBI-Project /Microsoft Capstone ProjectThis Project is Part of my Coursera Microsoft - Deploy and Maintain Power BI Assets and Capstone project. Certificate Link - https://www.coursera.org/account/accomplishments/verify/KIWPCOT1FK2J
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EDA Project on Restaurant Database - Cognifyz Internship Project
EDA Project on Restaurant Database - Cognifyz Internship ProjectIn this Project I have performed detailed EDA using Python on Restaurant Database. This Project is Part of my Cognifyz Internship
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EDA Project on Restaurant Database - Cognifyz Internship Project
EDA Project on Restaurant Database - Cognifyz Internship ProjectIn this Project I have performed detailed EDA using Python on Restaurant Database. This Project is Part of my Cognifyz Internship
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ML Project on Mushroom Classification using Logistic Regression
ML Project on Mushroom Classification using Logistic RegressionThis project aims to classify mushrooms as edible or poisonous using logistic regression. The dataset is preprocessed by handling missing values, encoding features, and scaling data. The model's performance is evaluated with metrics like accuracy, precisi
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ML Project on Mushroom Classification using Logistic Regression
ML Project on Mushroom Classification using Logistic RegressionThis project aims to classify mushrooms as edible or poisonous using logistic regression. The dataset is preprocessed by handling missing values, encoding features, and scaling data. The model's performance is evaluated with metrics like accuracy, precisi
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