Shubhangi Goyal
Senior Analyst at Admiral | WiD Chapter Lead| Public Speaker | Mentor
📋 Biography
Shubhangi has 8 years of experience working in data and AI from companies like Tata Consultancy Services to agile start-ups. She has a background in computer science engineering with an MSc in Business Analytics from the University of Bath, UK. She works as a Senior Analyst at Admiral Group , a leading FTSE100 company in financial services and insurance in the UK. She has worked in data analytics, data science, and AI, leveraging algorithms to extract insights, and understand human language in large datasets. Previously, she led the data function at an agile start up, focusing on artificial intelligence at the forefront of technology for the public sector in the UK. She leads the London Chapter for Women In Data which is a platform for tech enthusiasts. She is a verified expert and mentor at TopMate. She has also been the judge of Datathon 2024 and has delivered sessions on several platforms in the UK, Ireland, Germany, and India. She has also been nominated for TechWomen100 UK .
✨ High-Impact Contributions 5
I delivered a talk at MCP Conference London where I spoke about building AI systems with MCP. This session explores Model context protocol (MCP) as a system level abstraction for managing tools, memory and external integrations. It also covered how MCP fits into modern agent architectures, and having good context leads to more reliable, scalable AI in production.
Presented a talk on AI agents at AgentCon in Sofia, Bulgaria. Attendees walked away with understanding of context engineering, managing memory tools, and agent architecture. The talk also covered real world use case when deploying AI agents
Presented a talk on AI agents at GenAI London Conference. Attendees walked away with understanding of context engineering, managing memory tools, and agent architecture. The talk also covered real world use case when deploying AI agents.
Gave a talk at Civo Navigate Conference in London. In this talk I discussed about transformative role of Agentic AI in reshaping decision-making processes and about agentic architecture, the process and ways to drive efficiency. Key Takeaways: – Understanding how to build Agentic AI systems – Explore how autonomous agents drive efficiency, speed, and innovation in operations. – Recognize the challenges of bias, accountability, and transparency in AI-driven decisions. – Learn strategies to balance AI autonomy with responsible decision-making.
I actively mentor aspiring professionals in data and generative AI, helping them navigate both technical challenges and career growth. Through platforms like Femme Palette, I guide mentees on topics ranging from data analysis, machine learning, and model evaluation to understanding generative AI tools like large language models. I focus on simplifying complex concepts, sharing real-world applications, and providing feedback on projects, portfolios, and interview preparation. My approach is tailored—whether someone is switching into data, advancing their skills, or exploring the potential of AI, I meet them where they are. Beyond technical mentoring, I also help build confidence, clarify career paths, and connect mentees with resources and communities. I believe in fostering curiosity, ethical thinking, and a hands-on mindset. By mentoring in both data and generative AI, I aim to shape capable, responsible professionals who can innovate with purpose.