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Digvijay123321/README.md

👋 Hi, I'm Digvijay Raut (Peace)

🎓 Graduate student in Data Analytics Engineering at Northeastern University
🧠 Passionate about machine learning, explainable AI, and scalable systems
💡 I enjoy building things that make complex data more intuitive and useful
☁️ Currently working with GCP, Docker, and transformer models
🤝 I value being persistent, reliable, and a man of my word
♟️ When I'm not coding, I like playing chess

🌱 What I'm Learning

  • How to evaluate ML systems beyond accuracy—especially interpretability and trust
  • Scaling ML pipelines using Airflow, Cloud Run, and DVC
  • Advanced NLP with transformers and LLMs

💬 Let's Talk

📊 GitHub Stats

Digvijay's GitHub stats

⚡ Fun Fact

I thrive on solving open-ended problems—even when the path isn't clear at first.

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  1. DailyQuest DailyQuest Public

    Embarking on a quest to solve coding and SQL challenges daily from LeetCode, HackerRank, and more. This repository documents my progress, one problem at a time.

    Python

  2. hakeematyab/AuditPulse hakeematyab/AuditPulse Public

    An end-to-end AI dirven continuous financial auditing system using multi-agent LLMs for compliance, fraud detection, and risk assessment, leveraging public financial data for real-time, audit-ready…

    Jupyter Notebook 10 3

  3. Sentiment_analysis_on_mobile_reviews Sentiment_analysis_on_mobile_reviews Public

    Compared logistic regression, SVM, and random forest to determine sentiment in mobile reviews. Developed a web app with user registration, login, and phone review submission. Admin panel offers det…

    Jupyter Notebook

  4. Comprehensive_database_system Comprehensive_database_system Public

    A comprehensive database system for managing products, customers, and transactions, implemented using MySQL for efficient data management, integrity, and retrieval.

    Jupyter Notebook

  5. Customer_segmentation_unsing_RMF_analysis Customer_segmentation_unsing_RMF_analysis Public

    RFM analysis segments customers by Recency, Frequency, and Monetary value, offering insights into customer behavior. By applying this to an eCommerce dataset, distinct customer groups are identifie…

    Jupyter Notebook

  6. Los_Angeles_Crime_Data_Analysis_2020_to_2023 Los_Angeles_Crime_Data_Analysis_2020_to_2023 Public

    This project analyzes real-world crime data from 2020 to 2023, uncovering patterns and factors influencing crime rates. The analysis empowers citizens with insights for informed decisions. It inclu…

    Jupyter Notebook