ANIKET MAHESH KADAM

• Responsible for SQL database analysis, cloud infrastructure monitoring, production incident resolution, and enterprise reporting across AI-driven learning platforms.

Key Responsibilities:

• Established structured L1, L2, and L3 support processes during enterprise client onboarding.
• Performed SQL-based data validation, issue investigation, and reporting data extraction.
• Diagnosed and resolved complex production issues through detailed root cause analysis (RCA).
• Conducted application and server log analysis to identify system failures and performance bottlenecks.
• Monitored AWS and Azure cloud infrastructure to ensure high system availability.
• Managed bulk client data onboarding through automated ingestion scripts.
• Generated daily, weekly, and monthly stakeholder reports, tracking usage, progress, and system performance.
• Led priority incident calls with cross-functional L1, L2, and L3 teams.
• Implemented change management improvements and enhanced reporting mechanisms.
• Conducted sanity testing after production deployments and hotfix releases.
• Coordinated with DevOps and engineering teams to maintain production stability.
• Collaborated with developers, analysts, and project managers to expedite incident resolutions.
• Used Jira and Zoho Desk Track to maintain and update trouble tickets.
• Documented procedures for troubleshooting common issues, contributing to a more efficient support process.
• Provided comprehensive training for users to ensure smooth adoption of new applications and features.

Platforms Supported:

English Helper | Gyan AI.

• Analyzed customer lifecycle and operational datasets to support forecasting, engagement improvement, and business performance optimization.
• Key Responsibilities:
• Generated monthly, quarterly, and annual forecasting and performance reports.
• Analyzed customer engagement and operational KPIs to identify improvement areas.
• Supported large-scale data migration from legacy systems to new applications.
• Collaborated with product and analytics teams on requirement analysis and performance tracking.
• Improved operational efficiency through structured reporting and data-driven insights.
• Increased customer satisfaction levels with detailed performance monitoring and targeted improvements.
• Implemented effective risk management strategies, minimizing potential disruptions to operations and reducing financial impact.

• Managed operational databases and generated performance reports supporting daily flight scheduling, compliance monitoring, and fleet operations.
• Maintained structured operational data records.
• Generated analytical reports for planning and regulatory compliance.
• Managed large datasets, ensuring documentation accuracy and operational efficiency.
• Collaborated with cross-functional teams to ensure data integrity and accuracy, resulting in better-informed decisions.