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prernabanthiya/README.md

Hi 👋! My name is Prerna Banthiya and I'm a final-year B.Tech Data Science student from Ramdeobaba University.

  • 🔍 Passionate about data analytics, machine learning, and generative AI
  • 📈 Skilled in predictive modeling, causal inference, and dashboard building
  • 🧠 Hands-on experience with real-world projects in marketing optimization and trading systems
  • 💡 Always learning, experimenting, and building data-driven solutions

📌 Pinned Projects

🛠️ Tools & Technologies

python pandas numpy seaborn scikit-learn tensorflow pytorch mysql postgresql git

📫 Connect with Me


🐍 Contribution Graph

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  1. PriceCast-A-Predictive-Analytics-for-E-commerce-Pricing PriceCast-A-Predictive-Analytics-for-E-commerce-Pricing Public

    Jupyter Notebook

  2. PCAP-Analyzer-AI-Powered-Network-Issue-Detection-for-Trading-Systems PCAP-Analyzer-AI-Powered-Network-Issue-Detection-for-Trading-Systems Public

    AI-powered tool for analyzing PCAP/CSV trading traffic to detect network anomalies like retransmissions, latency, and disconnections, with interactive visualizations and LLM-based insights.

    Python

  3. Instacart-Market-Basket-Analysis Instacart-Market-Basket-Analysis Public

    A collection of Jupyter Notebooks analyzing the Instacart Market Basket dataset to predict users' next grocery purchases using clustering, association rules, and data exploration.

    Jupyter Notebook

  4. Healthcare-Dashboards-Doctor-Patient- Healthcare-Dashboards-Doctor-Patient- Public

    Developed two interactive Power BI dashboards (Doctor & Patient) by integrating and modeling 16 hospital data tables. The dashboards provide role-specific insights such as patient spend, doctor com…

  5. Zepto-analysis Zepto-analysis Public

    SQL project analyzing Zepto retail data with cleaning, exploration, and business insights for pricing, inventory, and supply chain decisions