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Frenzy-codes/README.md

Hey there! I'm Kaustubh (Frenzy-codes) 👋

Typing SVG

💫 About Me

I am a passionate developer focused on building scalable backend systems, designing clean database architectures, and analyzing data to build predictive machine learning models. I enjoy solving complex engineering challenges and transforming raw datasets into interactive dashboards.

  • 🛠️ Currently working on enhancing Sentiment-Analysis (Spam Filtering, VADER sentiment, and SQLite DB pipelines).
  • ⚡ Tech stacks I love: Python (Flask, Streamlit), Node.js, Express, Supabase, SQLite, and Postgres.
  • 📊 Analyzing data with: Pandas, NumPy, Scikit-learn (Random Forest), and Matplotlib.
  • 📫 Reach me at: kaustubhmanjarekar35@gmail.com

🛠️ Tech Stack & Skills

Backend & Databases:



Data Analysis & ML:



Frontend & Cloud:

📊 GitHub Stats & Performance

Kaustubh's GitHub Stats Top Languages

GitHub Streak

💡 Featured Projects

🎯 Sentiment Analysis & Spam Detection

A machine learning pipeline that filters fake review spam using a Scikit-Learn Random Forest Classifier and classifies review sentiment using VADER.

  • Tech Stack: Python (Flask, Streamlit), SQLite, Pandas, Scikit-Learn, Chart.js.
  • Database: Local SQLite serverless architecture with automatic fallback data loading.

🩸 LifeFlow - Blood Donation & Emergency Routing

An interactive emergency platform helping users connect with blood donors, locate blood banks, and host donation camps.

🤝 Connect with Me

Email GitHub

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  4. Frenzy-codes Frenzy-codes Public

    Config files for my GitHub profile.

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  6. Sentiment-Analysis Sentiment-Analysis Public

    A full-stack NLP and machine learning application that uses a Random Forest classifier to filter review spam and VADER to analyze sentiment, featuring interactive Streamlit and Flask/HTML5 dashboards.

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