Shahid Ahmed Shaik

• Analyzed data trends to support decision-making processes.
• Developed visual reports using Tableau to communicate insights effectively.
• Assisted in data cleaning and preparation for analysis projects.
• Collaborated with cross-functional teams to identify key performance indicators.
• Utilized data visualization tools to effectively communicate business insights.
• Used statistical methods to analyze data and generate useful business reports.
• Integrated multiple sources of disparate data into cohesive datasets using ETL processes, improving overall analytic capabilities.

• Customer Behavior & Retention:

Analyze usage patterns to identify churn risks, segment customers by behavior and value, and recommend

personalized plans and promotions.

• Fraud Detection: Detect unusual call/data usage patterns, flag SIM

swapping or identity fraud, and reduce revenue leakage through

automated alerts.

• Sales & Marketing Insights: Identify high-performing locations or

sales reps, evaluate campaign effectiveness, and leverage location and

usage data for precise targeting.

• Customer Support & Chatbot Enhancement : Analyze call center logs

to identify common issues, use NLP to improve chatbot performance,

and predict ticket escalation trends

• Revenue Forecasting: Track recharge patterns and renewals, forecast

ARPU, and optimize pricing models and bundles based on historical

trends.