Rhydham Prajapati

Data Analyst @Verizon Wireless Communications

US

Collected and integrated 9TB of wireless network usage data into Snowflake using SQL and Databricks, enhancing dataset accessibility and improving analytical readiness for downstream telecom performance analysis.• Processed and standardized customer call detail records with Python and PySpark, reducing data inconsistencies by 34% and creating a unified structure supporting accurate churn and ARPU models.• Automated ETL workflows connecting network traffic logs to Verizon’s analytics platform with Airflow, decreasing latency 41% and enabling real-time monitoring of subscriber activity across multiple U.S. regions.• Designed Power BI dashboards visualizing network congestion, dropped call ratios, and average throughput, accelerating executive insights by 26% and informing investment planning for 5G infrastructure expansions.• Applied time-series forecasting and anomaly detection to bandwidth utilization patterns, improving predictive accuracy by 22% and allowing proactive allocation of resources to prevent large-scale service disruptions.• Partnered with network engineers to optimize query performance in PostgreSQL, reducing reporting runtime from 5 hours to 68 minutes and ensuring faster delivery of telecom operational reports.

California State University, Northridge

Master's degree, Engineering/Industrial Management

Nirma University

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering