konsalex /
AccentureCode-n-Win
4 hour competition about completing a task Web Application with our project being in the 1st place
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About The Accenture North America's Data Analytics and Visualization virtual internship on Forage offers an immersive experience simulating the role of a Data Analyst. Participants tackle real-world tasks, honing skills in data cleaning, modelling, analysis, visualization, and presentation, mirroring the day-to-day responsibilities of data analysts
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The Accenture North America's Data Analytics and Visualization virtual internship on Forage offers an immersive experience simulating the role of a Data Analyst. Participants tackle real-world tasks, honing skills in data cleaning, modelling, analysis, visualization, and presentation, mirroring the day-to-day responsibilities of data analysts.
♦ Project Understanding
♦ Data Cleaning and Modelling
♦ Data Visualization and Storytelling
♦ Client Presentation
As a data analyst, I acted as a bridge between the business and the data. I worked under the guidance of Mae Mulligan, an Accenture Managing Director, who was the client lead for Social Buzz. Social Buzz, our client, faced challenges in handling massive data due to rapid growth. Accenture was tasked with:
♦ Conducting an audit of big data practices
♦ Providing recommendations for an IPO
♦ Analyzing popular content My specific task was to analyze sample datasets and visualize the popularity of different content categories, identifying the top 5 categories with the largest popularity. About Client : Social Buzz
Meet Accenture Project Team:
The first step is to use this Data Model to identify which datasets will be required to answer the business question which is to to figure out the top 5 categories with the largest popularity.
Data Model:
I identified and worked with the following datasets:
♦ Reaction Score (quantifying popularity)
♦ Content ID
♦ Reaction Types
♦ Content Type
♦ Category
♦ Removing rows with missing values
♦ Changing the data type of some values within columns
♦ Removing irrelevant columns
Next, I created a final dataset by merging the three cleaned tables. This resulted in one comprehensive spreadsheet that highlighted the top 5 content categories by popularity.
I prepared a PowerPoint presentation using the given template, incorporating various charts such as:
♦ Pie Chart
Selected from shared topics, language and repository description—not editorial ratings.
konsalex /
4 hour competition about completing a task Web Application with our project being in the 1st place
27/100 healthIngrid-0906 /
This repo contains the info about the virtual internship done over 2022.
37/100 healthhmugdet /
Data modelling, analysis, storytelling, presentation about the problem faced by the social media company.
/100 health♦ Bar Chart
This presentation was designed to effectively communicate the key insights from my analysis.
Task PPT - Click here
I presented my PowerPoint to the client, delivering insights and recommendations based on my analysis.
This virtual internship was an enriching experience that enhanced my skills in data analysis, data cleaning, modelling, and visualization, as well as in communicating insights effectively.
AditiSatsangi /
This is about the virtual one month internship from Accenture.
34/100 healtholajumoke-debby /
This short project is about providing data insights and content category analysis for a social media client who needs to analyze their media space. Microsoft Excel and Power BI were the tools engaged in this project. Required datasets for the task were identified.
34/100 healthASAH-A25-CS326 /
this is a capstone project about customer segmentation organized by Asah led by Dicoding X Accenture. The dataset used comes from kaggle and the aim of this project is expected to be a reference as customer segmentation for a company's marketing needs
42/100 health