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📊 Social Buzz Data Analytics Project

Role: Data Analyst

Tools Used: Excel | PowerPoint

Skills Demonstrated: Data Cleaning | Data Analysis | Insight Communication | Business Storytelling

📝 Project Overview

In this project, I worked as a Data Analyst for Social Buzz, a digital media company preparing for an IPO. My role was to analyze user engagement data to determine which content categories generated the highest interaction — a key metric for positioning the company in front of potential investors.

The project was inspired by a real-world business scenario from Accenture’s Data Analytics Virtual Experience and was independently executed to reflect my analytical and business communication skills.

🧩 Project Tasks & What I Did

1. Understanding Stakeholder Needs

  • Reviewed the client brief and clarified the core objective: identify top content categories based on user engagement (likes, shares, comments).

  • Considered how the insights would inform executive strategy and investor readiness.

2. Data Cleaning in Excel

  • Worked with three datasets: Reactions, Content and Reaction Types.

  • Performed data cleaning operations such as:

    • Removing null values and duplicates

    • Standardizing date formats

    • Validating category labels for consistency

3. Data Analysis in Excel

  • Joined datasets to create a unified table for analysis.

  • Calculated reaction scores per content category by aggregating reactions (likes, hearts, wows, etc.).

  • Ranked content categories based on total engagement.

  • Highlighted the top 5 most engaging content categories with insights about user behavior.

4. Insight Communication via PowerPoint

  • Created a concise, visually structured PowerPoint presentation tailored to business stakeholders.

  • Outlined key findings, explained the method used and presented strategic recommendations.

  • Focused on clarity, prioritization of insights and executive readability.

DASHBOARD

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✅ Key Outcomes

  • Developed a fully cleaned and analyzed dataset ready for business reporting.

  • Identified engagement trends that could guide Social Buzz’s content strategy.

  • Delivered a professional-grade presentation suited for executive and investor review.

  • Demonstrated strength in Excel-based analytics and business storytelling.

🛠️Skills Used:

Communication | Data Analysis | Data Modeling | Data Understanding | Data Visualization | Presentations | Project Planning | Public Speaking | Storytelling | Strategy | Teamwork

✨ Why This Project Matters

  • This project demonstrates how I approach real business challenges as a Data Analyst — from raw data cleaning in Excel to executive-ready storytelling in PowerPoint.
  • It's a clear example of how I transform data into actionable insight to drive business strategy.

Project by: Mallika Uppuganti

About

Accenture Data Analytics and Visualization is a virtual internship programme in which we will be using Excel and Microsoft PPT for data cleaning, data analyzing, data visualization and creating data insights to answer business related questions.

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