ABHINAV AKASH

· Network Performance Analysis: Leverage data science to identify trends and optimize network parameters.

· Predictive Modeling: Forecast network behavior and preemptively address issues.

· Automation via Machine Learning: Automate RF parameter optimization and interference detection.

· Capacity Planning with Big Data: Analyze traffic data for future-proofing network capacity.

· Enhanced Signal Processing: Improve signal quality by applying data science techniques.

· Fault Detection: Use data models to quickly detect and resolve network issues.

· Churn Prediction: Analyze customer data to predict churn and implement strategies to retain users based on network performance insights.

· Customer Experience Analysis: Use data analytics to assess customer satisfaction and improve service quality based on usage patterns.

• Spearheaded the planning, execution, and delivery of optical fibre infrastructure projects across the Gurgaon region, ensuring alignment with Jio’s network expansion goals.
• Monitored project timelines, budgets, and resources, ensuring on-time and cost-effective deployment of fibre networks.
• Coordinated with cross-functional teams including vendors, field engineers, and local authorities to resolve bottlenecks and streamline implementation.
• Maintained comprehensive project documentation, status reports, and dashboards for senior management to track progress and KPIs.
• Conducted site feasibility studies, risk assessments, and route surveys to ensure optimal fibre deployment strategies.
• Played a key role in quality control and adherence to safety and regulatory standards throughout the project lifecycle.