Meghamsh A

About Meghamsh A

AI-Driven Data Analyst | Power BI, Tableau, SQL, Python, BigQuery | AWS, GCP, ServiceNow AnalyticsI am a Data Analyst with 4+ years of experience building enterprise-scale analytics, business intelligence, and AI-powered data solutions across cloud, network, audit, and business operations.I specialize in converting complex datasets into executive-ready dashboards, automated reports, and compliance-ready insights using SQL, Python, Power BI, Tableau, BigQuery, AWS, and Google Cloud. My work supports leadership decisions across enterprise assets, helping organizations improve compliance, reduce risk, and optimize performance.What differentiates me is my ability to combine Data Engineering, BI, and Generative AI. I have implemented AI-driven workflows using ChatGPT, Google Gemini, RAG, and Vertex AI to automate SQL optimization, root-cause analysis, reporting, and documentation — cutting manual analysis time by over 40% while improving accuracy and insight speed.I have delivered:• 15% revenue growth through data-driven dashboards • 30% faster executive decision-making • 30% improvement in operational efficiency • 99.9% data accuracy and audit-ready reporting My expertise spans:Data Analytics & BI • SQL • Python • Power BI • Tableau • BigQuery • AWS • GCP • Data Governance • AI-Driven Analytics • KPI Design • Data Pipelines • Compliance & Risk Analytics • ServiceNow AnalyticsI am open to Data Analyst, Senior Data Analyst, Analytics Engineer, Business Intelligence, and AI-Driven Analytics roles where data, automation, and business impact intersect.

Experience

1. Data Analyst

   Tech Mahindra

   Apr 2025 — Present · Hyderabad, IN

   Built enterprise-scale analytics solutions using SQL, Python, and BigQuery across network, cloud, and audit assets, delivering trusted, compliance-ready datasets for leadership reporting. • Designed and deployed Power BI and Tableau dashboards for KPIs, SLAs, compliance metrics, audit performance, and system uptime used by executives and operations teams. • Implemented automated data ingestion, transformation, validation, and reconciliation pipelines, ensuring 99.9% data accuracy and audit readiness. • Applied anomaly detection and trend analysis to identify compliance gaps, operational risks, and performance issues before they impacted the business. • Leveraged Generative AI (ChatGPT, Google Gemini, RAG, Vertex AI) to automate SQL optimization, root-cause analysis, documentation, and insight generation, reducing manual effort by over 40%. • Established data governance frameworks including data lineage, access controls, standardized validation rules, and audit-ready reporting. • Translated complex technical and business requirements into actionable BI reports, dashboards, and KPIs for cross-functional stakeholders. • Delivered recurring executive-level insight reports enabling faster, data-driven decision-making across IT, audit, and cloud operations.

Education

• University of North Texas

  Master's degree, Business Analytics

• GITAM Deemed University

  Bachelor of Technology - BTech, btech