Telecom Business & Domain (Data Science) with GOURI SHANKAR

Want to understand the telecom domain and how data analytics and machine learning solve real-world business problems?

In this 1:1 consultation, I will help you understand telecom business fundamentals, key performance indicators (KPIs), customer lifecycle, revenue models, and practical use cases of data science and AI/ML in telecom.

Drawing on my 9+ years of experience in telecom analytics and AI/ML solutions, I will explain how telecom operators use subscriber data, recharge patterns, usage behavior, demographics, complaints, and campaign data to make business decisions.

What You Will Learn

• Telecom Fundamentals: Prepaid vs. postpaid, subscriber lifecycle, telecom revenue streams, ARPU, and customer behavior.
• Key Telecom KPIs: Churn rate, recharge revenue, ARPU, customer acquisition, retention, and campaign conversion.
• Customer Analytics: Customer 360, RFM/RFMI segmentation, micro-segmentation, and customer profiling.
• Churn Prediction: Business problem, target definition, features, model evaluation, and retention strategies.
• Next Best Offer (NBO): How telecom operators recommend personalized offers to increase recharge sales and revenue.
• Campaign Analytics: Customer targeting, campaign performance, conversion measurement, and optimization.
• Real-World AI/ML Use Cases: Churn prediction, CLTV, win-back, upselling, cross-selling, and customer propensity models.
• Career Guidance: How to explain telecom domain knowledge and analytics projects in interviews.

Who Should Book This Session?

• Data Scientists and Data Analysts entering the telecom industry.
• Professionals preparing for telecom analytics interviews.
• Freshers who want to understand real-world telecom business problems.
• Experienced professionals transitioning into telecom analytics.
• Anyone looking to connect business understanding with practical AI/ML applications.

Session Format

A personalized 1:1 online consultation tailored to your experience, learning goals, and questions.

You can bring your interview questions, project challenges, or specific telecom use cases for discussion.

Outcome

By the end of the session, you will have a clearer understanding of telecom business concepts, important KPIs, customer analytics use cases, and how AI/ML solutions create business value for telecom operators.