• Led the design and development of a scalable, SNMP-based solution to streamline client monitoring across diverse networks. This user-friendly system consolidates data pipelines, enabling efficient monitoring from a single interface.• Developed data-driven sensors from statistical analysis, enabling proactive alarms with 98% accuracy.• Automated 100% Jira ticket creation for production issues, streamlining the process and eliminating the need for manual monitoring of dashboards and ticket creation.• Implemented an Airflow-based job solution to automate complex data pipeline processing, increasing efficiency by 30% with reduced processing time and improved job completion rate.• Identified revenue leakages through statistical analysis. Designed dashboards to visualize these insights, empowering executive leadership with data-driven decision-making, leading to improved cost-saving measures.• Built and deployed call center call volume forecasting & proactive micro services monitoring via Machine Learning for pre-emptive issue detection & disruption prevention.

• Developed real-time data ingestion scripts for switch data from APIs, enabling active monitoring and analysis that identified and mitigated critical switch-related issues.• Spearheaded Grafana-based Dockerized monitoring application for Afiniti products, enabling real-time visualization and analysis of Afiniti’s services health and performance.• Utilized Power BI to analyze account data and deliver daily reports with key metrics, empowering leadership to make informed decisions.• Automated repetitive tasks via intelligent bots, freeing up team members to focus on higher-value tasks.

• Delivered a 98% quick resolution time for production-related issues as a Tier 1 Support Engineer, utilizing technical expertise to ensure prompt customer resolution.• Developed and implemented proactive pre-production monitoring health checks, enabling early detection of potential system issues and preventing revenue loss. • Crafted automated email reports (Python) utilizing HTML frameworks to deliver hourly account-specific statistics, enabling real-time performance monitoring.• Contributed to process improvement by documenting issues, RCAs, and SOPs, ensuring consistent problem-solving, knowledge transfer, and proactive mitigation of similar future scenarios.

Generated actionable insights from marketing data analysis (e.g., website traffic, social media engagement) to drive improved click-through rates (CTR) and conversion rates for targeted marketing campaigns.