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kanish5/README.md

Typing SVG

Portfolio LinkedIn Gmail GitHub


💫 About Me

kanish = {
    "name"        : "Kanish Tyagi",
    "role"        : "Product Strategy & AI PM Candidate",
    "education"   : "M.S. Data Science @ UT Arlington (Dec 2026)",
    "background"  : "3+ yrs QA Engineer → Data Science → Product",
    "location"    : "Arlington, TX 🇺🇸",
    "open_to"     : ["APM", "Product Strategy Intern", "AI PM"],
    "cpt_eligible": "May 2026 ✅",
    "currently"   : "Building PM portfolio · Open Source at Microsoft",
    "superpower"  : "I break products AND know how to fix them 🧠",
}
  • 🎯 Background: 3+ years in QA taught me how products fail — now I want to own how they succeed
  • 🚀 Product Work: Go-to-market strategy & pricing for a B2B SaaS startup (FoundersBoost NYC 2026 accelerator)
  • 🤖 AI PM angle: Built RL-powered AI Tutor (UCB1 + Claude API) — owned full lifecycle from idea → deployed product
  • 🔧 Open Source: 5 merged PRs to Microsoft's agent-governance-toolkit — writing about AI governance on Dev.to
  • 🏆 Recognition: 2nd Runner-Up AWS GenAI Hackathon · Speaker @ UTA Business Analytics Symposium 2026
  • 💬 Ask me about: Product strategy, pricing models, QA → PM pivot, or anything AI/ML
  • Fun fact: I spent 3 years breaking products before realizing I understood them better than most PMs building them

🏆 Achievements

🎯 Product 🎤 Speaker 🏆 Hackathon 🔧 Open Source
FoundersBoost NYC Spring 2026 UTA Business Analytics Symposium 2026 2nd Runner-Up — AWS GenAI Hackathon 5 PRs Merged @ Microsoft
✅ Certified 📜 Certified
ISTQB Foundation Level Google Data Analytics Professional

🚀 Featured Projects & Case Studies

Project Type Stack Highlights
🎯 B2B SaaS GTM & Pricing Strategy Product Case Study Go-to-Market · Pricing · Competitive Analysis 3-tier model · FoundersBoost NYC 2026
🤖 Adaptive AI Study Tutor AI Product Python · UCB1 RL · Claude API · Streamlit 18 config arms · Deployed · Full product lifecycle
📊 GenAI ROI Analysis Data + Strategy Python · Pandas · Business Analytics 90K+ survey rows · Presented at UTA Symposium 2026
🔧 Microsoft Agent Governance Toolkit Open Source Python · AI Governance · GitHub 5 merged PRs · Dev.to articles
🏥 Health Center Attrition Predictor ML Scikit-learn · XGBoost · Pandas 87% accuracy · 1,400+ records
🏠 Airbnb Price Insights EDA Dashboard Pandas · Matplotlib · Streamlit 50K+ listings · Interactive dashboard

💻 Tech Stack

🎯 Product & Strategy

Jira Figma Notion Miro Confluence Tableau Power BI

🧠 AI / ML / Data

Python TensorFlow PyTorch scikit-learn Pandas NumPy Plotly Streamlit

🤖 GenAI & LLMs

OpenAI Claude LangChain HuggingFace

☁️ Cloud & Infrastructure

AWS Google Cloud Azure Docker

🗄️ Databases

PostgreSQL MySQL MongoDB

🛠️ Dev & Testing Tools

Git GitHub GitHub Actions Selenium Postman JavaScript


📊 GitHub Stats


🏆 GitHub Trophies


📈 Contribution Graph

Kanish's github activity graph


🌐 Connect With Me

Portfolio LinkedIn Gmail GitHub


✍️ Dev Quote of the Day


🔝 Top Contributed Repos


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  1. adaptive-ai-study-tutor adaptive-ai-study-tutor Public

    Python

  2. customer-segmentation-ml-project customer-segmentation-ml-project Public

    Jupyter Notebook

  3. Health_Center_Churn_Analysis Health_Center_Churn_Analysis Public

    Jupyter Notebook

  4. market-data-analysis market-data-analysis Public

    Stock market data analysis and forecasting using Python

    Python

  5. Resume-Parser-with-NLP Resume-Parser-with-NLP Public

    Jupyter Notebook

  6. genai-roi-analysis genai-roi-analysis Public

    Python