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🚀 Currently developing a website for the FIA Club at Clarkson University! 🌟
:octocat:
🚀 Currently developing a website for the FIA Club at Clarkson University! 🌟

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VANDRANKI/README.md

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👨‍💻 Hey there! 👋 I'm Prabhu

Dynamic Typing SVG

🎯 About Me

I'm a data enthusiast who thrives on transforming complex datasets into actionable insights. Currently serving as a Research Technician - CMP Modelling & Analytics at Clarkson University, where I'm pioneering innovative approaches at the intersection of LLM's, ML, RAG, AI Agents and semiconductor technology. My journey bridges the worlds of software engineering, data science, and cutting-edge AI research.

What drives me? The challenge of making data tell its story - whether through predictive models, elegant visualizations, or intelligent systems that solve real-world problems. I believe in sustainable, long-lasting solutions over quick fixes.

  • 🔬 Current Role: Research Technician @ Clarkson University
  • 🎓 Education: MS in Applied Data Science (GPA: 3.95/4.0) | BTech in Computer Science (GPA: 8.08/10.00)
  • 🌍 Location: Potsdam, New York
  • 🧪 Research Focus: Machine Learning, AI Agents for CMP (Chemical Mechanical Planarization) in Semiconductor Manufacturing
  • 💡 Passion: I like learning, I like Growing, I like thinking

📊 GitHub Analytics

GitHub Streak

🔬 Research & Current Work

🏭 Semiconductor AI Research (Current)

Developing Expert Models for CMP Slurry Development

  • Building custom ML models to process and analyze scientific literature on ceria synthesis
  • Pioneering the application of LLMs and fine-tuning techniques in the CMP domain
  • Enabling data-driven decisions to optimize material synthesis and experimental conditions
  • Presented my research at the 27th International Symposium on CMP (Saratoga, NY)
  • Collaborating with semiconductor industry leaders who are excited about AI's impact on manufacturing

"This groundbreaking approach is new to the CMP community and has attracted significant interest from many semiconductor companies." - Prof. Jihoon Seo


🏆 Academic Excellence

  • 🎓 MS in Applied Data Science - Clarkson University (GPA: 3.95/4.0)
    • Data Mining, Big Data Processing, Cloud Services, NLP, Machine Learning
  • 🎓 BTech in Computer Science - Parul University (CGPA: 8.08/10.0)
    • Specialized in Python, Data Structures, Algorithms, and Full-Stack Development

🛠️ Technical Arsenal

Core Programming & Data Science

PythonJavaScriptRStudioJavaC++

Machine Learning & AI

TensorFlowPyTorchPandasNumPyScikit Learn

Web Development

ReactNode.jsExpressDjangoHTML5CSS3Tailwind

Productivity & Office Tools

Microsoft ExcelMicrosoft WordMicrosoft PowerPointGoogle Workspace

Databases & Cloud

MongoDBPostgreSQLMySQLAWSDocker

Specializations

  • NLP & LLMs: Fine-tuning, Prompt Engineering, Text Analysis
  • Data Visualization: Tableau, D3.js, Matplotlib, Seaborn
  • Big Data: Cloud Services, Distributed Processing
  • DSA: Strong foundation in algorithms and problem-solving

📜 Certifications & Continuous Learning

  • 🎯 Data Visualization - freeCodeCamp (Mar 2024)
    • Mastered Choropleth Maps, Heat Maps, Scatter Plots, Tree Maps
  • 🤖 Basics to Advanced Prompt Engineering - Alison (Nov 2023)
    • Expert in ChatGPT, DALL-E2, Chain of Thought (COT), Few-shot learning
  • 📊 89+ Skills, some endorsed on LinkedIn including NLP, Python, ML, DSA, and Tableau

🌟 Leadership & Community Impact

🎖️ National Cadet Corps (NCC) - India

Squad Leader (2014-2016) | Cadet (2021-2022)

  • Led security operations for currency transportation during demonetization
  • Organized environmental conservation initiatives (Beach cleanup - Rama Krishna Beach, VSKP)
  • Developed leadership, teamwork, and problem-solving skills in high-pressure situations
  • Certified from Andhra Pradesh Junior Division 14th Battalion & Gujarat Battalion

⚡ Fun Facts About Me

  • 🔍 Grounded seeker of truth - Driven by curiosity and a deep desire to understand how things really work
  • Relentless questioner - Always probing beyond the obvious, never settling for easy answers
  • 🏛️ learning-to-learn advocate - Thrive on dialogue, critical thinking, and continually refining my ability to learn
  • 🌍 Global collaborator - Open to working on exciting projects from anywhere
  • 🕷️ Friendly neighborhood data scientist - Saving the world one dataset at a time!

🤝 Let's Connect!

LinkedInGitHubTwitterInstagramORCID


📈 Activity Graph

Contribution Graph

💭 "In the past, the focus was on simply solving problems and delivering solutions. But today, long-term success demands that we not only make ideas work, but ensure they are sustainable and built to last."

- Mark Dougherty


🌟 Thanks for stopping by! If you find my work interesting, consider giving a ⭐ to my repositories!

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  1. Agentic_Market_Risk_ForecasterAgentic_Market_Risk_ForecasterPublic

    Multi-agent quantitative risk system: VaR/ES via 4 methods, GARCH, Kupiec/Christoffersen backtests, portfolio optimization, and AI agents explanations via CrewAI + Groq.

    Python 1

  2. Credit_Risk_ECL_ProjectCredit_Risk_ECL_ProjectPublic

    Jupyter Notebook 1

  3. fm_mortgage_risk_labfm_mortgage_risk_labPublic

    Mortgage credit risk and stress testing lab with PD/LGD modeling, lifetime ECL engine, and interactive Next.js dashboard using Freddie Mac loan and macro data.

    Python 1

  4. Fun_veeeee_ToolFun_veeeee_ToolPublic

    Type a sentence and know your mood

    Jupyter Notebook 1

  5. openclaw_personal_AIopenclaw_personal_AIPublic

    Forked from openclaw/openclaw

    Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

    TypeScript 1

  6. sciagent-frontendsciagent-frontendPublic

    a tool where you upload the research paper or PDF's and you can ask questions and learn

    TypeScript 1