🚀 A cutting-edge tool that uses social media insights to: 📊 Track engagement 📈 Analyze trends 💡 Inform award decisions. Empowering organizations to recognize top influencers and participants based on real-time interactions. 🏆

This project aims to analyze the influencer journey of Robin Sharma, focusing on his social media activities across YouTube, LinkedIn, and Instagram. By extracting data using the YouTube API and manually collecting data from LinkedIn and Instagram, we provide a detailed analysis of his posts, engagement, and costs.

This project analyzes influencer marketing and promotional budgets' impact on sales using ML and statistical modeling in Python. It includes EDA, data cleaning, and simple and multiple linear regression. Key libraries include pandas, NumPy, statsmodels, Seaborn, and Matplotlib. Insights help optimize marketing strategies and resource allocation.