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abhinavharbola/README.md

Hi, I'm Abhinav

Final-year CS student building production-grade AI systems.

What I work on: RAG pipelines, MLOps, NLP, Explainable AI

Stack: Python, LangChain, Hugging Face, XGBoost, FAISS, FastAPI, Streamlit, Docker

Currently: Looking for Data Science/AI/ML engineer roles (open to remote)

📫 abhinavdaharbola@gmail.com

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  1. customer-churn-mlops-pipeline customer-churn-mlops-pipeline Public

    A production-grade machine learning system that predicts churn, monitors itself and automatically retrains when drift is detected.

    Python

  2. insightpilot-ai-data-analyst insightpilot-ai-data-analyst Public

    An interactive data analyst application built with Streamlit and Google Gemini for CSV dataset analysis and visualizations.

    Python

  3. credit-card-fraud-transaction-detection-using-ML credit-card-fraud-transaction-detection-using-ML Public

    A streamlit based webapp that detects a fraud credit card transaction using machine learning models

    Python

  4. real-time-sentiment-analysis-dashboard real-time-sentiment-analysis-dashboard Public

    A real-time dashboard visualizing sentiment analysis using Hugging Face transformers, via streamlit

    Python

  5. customer-churn-prediction-with-xai customer-churn-prediction-with-xai Public

    A streamlit based webapp that predicts customer churn rate backed by Explainable AI (XAI)

    Python

  6. fullstack-email-scheduler fullstack-email-scheduler Public

    A production-grade distributed Full-Stack email schedular with end-to-end, fault-tolerant architecture.

    TypeScript