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Raveena Thakur

Data Analyst Intern
The Sparks Foundation
About Raveena
Work experience
Pwc Call Centre Trends Analysis
Pwc Call Centre Trends AnalysisThis project comes under the domain Customer Services Management in Telecom Sector. This analysis was done to finds trends and insights using Power BI Desktop and understand the performance of "Call Centre" and calculate the relevant KPIs.
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Pwc Call Centre Trends Analysis
Pwc Call Centre Trends AnalysisThis project comes under the domain Customer Services Management in Telecom Sector. This analysis was done to finds trends and insights using Power BI Desktop and understand the performance of "Call Centre" and calculate the relevant KPIs.
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Pwc Customer Retention Analysis
Pwc Customer Retention AnalysisThis project comes under the domain of customer relationship management (CRM) and business analytics.
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Pwc Customer Retention Analysis
Pwc Customer Retention AnalysisThis project comes under the domain of customer relationship management (CRM) and business analytics.
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Pwc Diversity and Inclusion Analysis Report
Pwc Diversity and Inclusion Analysis Report This project comes under the domain of HR analytics. It involves examining various aspects of diversity and inclusion within an organization, such as demographics of the workforce.
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Pwc Diversity and Inclusion Analysis Report
Pwc Diversity and Inclusion Analysis Report This project comes under the domain of HR analytics. It involves examining various aspects of diversity and inclusion within an organization, such as demographics of the workforce.
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Exploratory Data Analysis - SampleSuperstore Analysis -Retail
Exploratory Data Analysis - SampleSuperstore Analysis -RetailThis project belongs to Data science and business analytics internship at the sparks foundation company under the domain Retails and marketing.
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Exploratory Data Analysis - SampleSuperstore Analysis -Retail
Exploratory Data Analysis - SampleSuperstore Analysis -RetailThis project belongs to Data science and business analytics internship at the sparks foundation company under the domain Retails and marketing.
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Exploratory Data Analysis - Global Terrorism Report
Exploratory Data Analysis - Global Terrorism ReportThis Project is done under the sparks foundation Internship under the domain security and criminology in data science and Business analytics. This project aims to global terrorism data and collected insights on Hot Zones of Terrorism as a Security/Defense
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Exploratory Data Analysis - Global Terrorism Report
Exploratory Data Analysis - Global Terrorism ReportThis Project is done under the sparks foundation Internship under the domain security and criminology in data science and Business analytics. This project aims to global terrorism data and collected insights on Hot Zones of Terrorism as a Security/Defense
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Amazon-Apple iPhone XR (64GB) Review Project
Amazon-Apple iPhone XR (64GB) Review ProjectThis Project aims to reviews datasets for Apple iPhone from Amazon.com provides Insights and comprehensive opinion data that can be used to understand customer sentiments towards the products as a March Challenge given by #Datadna.
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Amazon-Apple iPhone XR (64GB) Review Project
Amazon-Apple iPhone XR (64GB) Review ProjectThis Project aims to reviews datasets for Apple iPhone from Amazon.com provides Insights and comprehensive opinion data that can be used to understand customer sentiments towards the products as a March Challenge given by #Datadna.
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Maven Analytics Plato's Pizza Challenge
Maven Analytics Plato's Pizza ChallengeThis Challenge is hosted by Maven Analytics with the purpose to play the role of BI Consultant hired by Plato's Pizza, a Greek pizza restaurant in New Jersey and depth analysis of the data they provided and I analyzed the data, cleaned the data and visual
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Maven Analytics Plato's Pizza Challenge
Maven Analytics Plato's Pizza ChallengeThis Challenge is hosted by Maven Analytics with the purpose to play the role of BI Consultant hired by Plato's Pizza, a Greek pizza restaurant in New Jersey and depth analysis of the data they provided and I analyzed the data, cleaned the data and visual
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