About Me

I am Shivam Goyal, a Microsoft MVP (AI) and Senior Data Analyst at Ernst & Young, passionate about building agentic AI systems, delivering hands-on Azure AI solutions, and mentoring developers globally.

At EY, I develop data-driven pipelines, BI dashboards, and AI solutions for enterprise clients, integrating cloud-native AI services and agentic frameworks to solve real-world challenges.

I thrive at the intersection of technology, innovation, and education, democratizing AI through open-source projects, tutorials, and applied solutions.

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My Professional Journey & Achievements

Academic Expertise

• The NorthCap University, Gurugram | B.Tech in Computer Science

  • Duration: 2021 – 2025
  • CGPA: 9.29
  • Specialization: Artificial Intelligence & Machine Learning

• St. Xavier's Sr. Sec School, Haryana | Class 12th (CBSE)

  • Duration: 2020 – 2021
  • Percentage: 86.0%

• St. Xavier's Sr. Sec School, Haryana | Class 10th (CBSE)

  • Duration: 2018 – 2019
  • Percentage: 93.0%

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Professional Experience

Senior Data Analyst @ EY

Duration: July 2025 – Present

• Developed and maintained data pipelines & APIs integrating CRM data in Microsoft Power Apps
• Designed custom analytics dashboards on CRM Dataverse data, enabling actionable insights for clients
• Collaborated with cross-functional teams to implement scalable AI and data solutions

Emerging Extraordinaire Award (2025)

Awarded the Emerging Extraordinaire Award at Ernst & Young in recognition of exceptional performance, innovation, and contributions to the organization. This prestigious award celebrates emerging talent who demonstrate outstanding capabilities and drive meaningful impact.

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Data Analyst Intern @ EY

Duration: June 2024 – July 2024

• Built synthetic time-series pipelines for diverse clients using Synthetify, improving model reliability by 40%
• Developed a Questro-based chatbot for contextual document insights, accelerating analysis by ~90%
• Explore Questro

Data Analyst Intern @ EY

Duration: May 2023 – July 2023

• Improved solar energy forecasting accuracy by 30% using ML models on weather data
• Optimized grid integration and resource allocation, supporting renewable energy adoption

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Certifications

• Azure AI Fundamentals (AI-900)
• AWS Certified Cloud Practitioner

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Key Achievements & Impact