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Telecom Churn Case Study - Domain Oriented

In the telecom industry, customers are able to choose from multiple service providers and actively switch from one operator to another. In this highly competitive market, the telecommunications industry experiences an average of 15-25% annual churn rate. Given the fact that it costs 5-10 times more to acquire a new customer than to retain an existing one, customer retention has now become even more important than customer acquisition.

For many incumbent operators, retaining high profitable customers is the number one business goal.

To reduce customer churn, telecom companies need to predict which customers are at high risk of churn.

In my following project, I have used the ML applications and created predictive models to conclude the best fit for reducing the risk of churning customers and to retain them.

🚀 About Me

📊 Analyzing Data, Unleashing Insights

Hey there! 👋 I'm Rajeev Punjabi, a passionate Business Analyst with a knack for decoding data and transforming it into actionable insights. 🚀 Armed with a blend of analytical skills and business acumen, I thrive on untangling complex problems and identifying opportunities that drive growth.

🔍 What I Bring to the Table:

Data Whisperer: I specialize in extracting meaning from data chaos, using a mix of statistical analysis, data visualization, and domain expertise to tell compelling stories.

Strategic Navigator: With a keen eye for detail and a strategic mindset, I collaborate with cross-functional teams to align data-driven decisions with organizational objectives.

Continuous Learner: In the ever-evolving landscape of business and technology, I'm committed to staying at the forefront of industry trends and sharpening my skills in data analysis, machine learning, and beyond.

🎯 My Mission:

To empower businesses with actionable insights that fuel innovation, drive efficiency, and ultimately, make a tangible impact on the bottom line. Whether it's optimizing processes, identifying market trends, or anticipating customer needs, I thrive on the challenge of turning raw data into strategic advantage.

💼 Let's Connect:

Looking to collaborate on data-driven projects or discuss the latest trends in business analysis? Feel free to reach out! I'm always eager to connect with fellow data enthusiasts, industry professionals, and anyone passionate about leveraging data to drive meaningful change.