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amandeep-winner

PythonJavaCData StructuresAlgorithmsObject-Oriented Programming (OOP)

About

I'm amandeep-winner, currently pursuing my Bachelor of Engineering in Artificial Intelligence while having completed a BS in Data Science from IIT Madras. My focus is on the intersection of AI, governance, and practical application—I'm deeply interested in how we can build AI systems that are ethical, secure, and accessible, especially in contexts like India. I bring hands-on experience with data analytics projects, like creating interactive Power BI dashboards for business insights, and I actively engage with industry thought leaders at summits to stay at the forefront of AI ethics and fintech integration. I'm looking to connect with professionals who share these interests and explore how we can collaborate on meaningful work in this space.

Networking

What I can offer

  • Practical competency through project work (Power BI dashboard)
  • Synthesized learnings and key takeaways from high-level conferences
  • Contribution to discourse on responsible AI and data analytics

Looking for

  • expanding my professional network
  • exploring mutual opportunities in AI and data science

Best fit for

Industry leadersFoundersPanelists at major AI summits

Current Interests

AI Ethics, Governance & PolicyAI in CybersecurityAI in Fintech & AccessibilityPractical Data AnalyticsBusiness Intelligence

Background

Education

Bachelor of Science - BS, Data Science at Indian Institute of Technology, Madras (completed 2023); Bachelor of Engineering - BE, Artificial Intelligence at Sir M Visvesvaraya Institute Of Technology (ongoing from September 2023 to September 2027)

Achievements

  • Completed a 'Maven Market Analysis' project using Power BI, creating an interactive dashboard to analyze sales, returns, customer behavior, and product performance for a fictional retail brand

Opinions

  • Trust in AI is a governance challenge, not just a technical one
  • Policy and regulation are critical to shaping responsible AI deployment
  • Innovation is currently outpacing policy, and enforceable frameworks are necessary for trust
  • Advocates for a future where AI is accessible, multilingual, and voice-enabled, particularly for India
  • Product-led AI > hype-driven AI