May 2024 – Present · 2 yrs · Hybrid

• End-to-End Topology Mapping: Engineered a hierarchical connectivity model in Neo4j to validate the multi-layer network path (Radio → BBU → CSR → MLS); identified isolated devices and broken relationship hops across 50000+ nodes, enabling field teams to eliminate service blind spots and optimize network integrity.
• Network Reliability & Resilience Analytics: Architected a hierarchical structural analysis of Verizon’s bidirectional ring network; identified critical failure points and connectivity gaps. Delivered near real-time, actionable insights that accelerated network restoration and ensured service continuity for thousands of customers.
• Strategic Data Migration & Graph Architecture: Architected and executed the migration of millions of records from legacy systems (Oracle/MongoDB) to Neo4j with a 99% reconciliation accuracy.
• Scalable Engineering (Python & Dask): Developed high-performance ETL/ELT pipelines using Python and Dask, boosting data ingestion speed by 40% and enabling the processing of complex, multi-source inventory data at scale. Automated validation workflows and data-quality hooks that reduced reporting errors by 15%, bridging the gap between raw engineering and "audit-ready" insights.
• Event-Driven Systems & Data Consistency: Engineered a distributed event-driven architecture using a Listener-Scheduler-Worker pattern to handle 100K+ daily MongoDB events, achieving 99.97% transactional consistency between operational systems and Oracle databases.
• Advanced Orchestration (Apache Airflow): Streamlined complex data lifecycles by orchestrating workflows in Apache Airflow, eliminating manual bottlenecks and significantly improving operational efficiency across the data platform.
• Enterprise DevOps & CI/CD: Managed Jenkins CI/CD pipelines for seamless UAT-to-Production deployments, resolving 10+ critical system bugs and maintaining a 99.8% system uptime.

Jul 2023 – Apr 2024 · 9 mos · Hybrid

• Predictive Milestone Forecasting: Engineered a predictive model to forecast the duration of critical construction milestones for telecom towers, transforming historical deployment data into high-accuracy project timelines.
• Schedule Risk Mitigation: Developed a "Risk-Adjusted" forecasting tool that identified potential project delays before they occurred, allowing project managers to proactively reallocate resources and minimize idle time.
• Advanced Statistical Modeling: Leveraged historical build intervals and external variables to estimate "Time-to-Commission" (TTC) for new sites, improving the reliability of 5G rollout schedules for regional leadership.
• Strategic Capital Optimization: Integrated predictive insights with financial planning to reduce "Capital-at-Risk" by aligning hardware procurement and labor contracts with realistic, data-driven site completion dates.

Mar 2022 – Jun 2023 · 1 yr 3 mos · Hybrid

• Strategic Build Lifecycle Analytics: Developed an end-to-end Tableau analytics platform to monitor the Engineering Build Interval (EBIA), tracking the velocity of network deployment from site acquisition to "On-Air" status.
• Operational Bottleneck Identification: Visualized cycle-time KPIs and milestone variances across multiple engineering stages, enabling leadership to pinpoint systemic delays and reduce the overall lead time for regional site builds.
• Capital Efficiency & ROI Tracking: Bridged the gap between engineering milestones and financial performance by analyzing "Time-to-Market" metrics, helping the organization optimize Capital Expenditure (CAPEX) burn rates.
• Executive Decision Support: Transformed complex project management data into interactive executive dashboards, providing real-time visibility into construction progress and enabling data-driven interventions to meet aggressive 5G rollout targets.