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RJ2811/README.md

Hi 👋, I'm Rithvik Jaswal

AI • Data Science • Product Management • Software Engineering

B.Tech CSE @ SRMIST, Chennai  |  Summer Intern @ Zoho (Site24x7)

💼 Experience

  • Zoho (Site24x7) — Cloud Team: monitoring/automation tools, backend Python, API integration
  • TVARIT — AI/ML Intern: data preprocessing, feature engineering, model dev
  • HAL — Industrial Intern: engineering workflows, technical documentation

🚀 Featured Projects

  • Hybrid Stock Market Prediction — Attention-LSTM + XGBoost/LightGBM ensemble, FinBERT sentiment, SHAP, Monte Carlo risk
  • Vector DB Monitor — Site24x7 monitoring plugin for vector databases
  • Oracle EBS Monitoring Dashboard — Flask dashboard, SSH-based service monitoring
  • Transaction Fraud Detection — EDA, feature engineering, multi-model evaluation
  • Remaining Useful Life Prediction · Ride Booking Analytics · Customer Segmentation · Language Detection · Face Mask Detection

🧰 Tech Stack

Python SQL TensorFlow Scikit-learn XGBoost LightGBM CatBoost Pandas NumPy Flask PostgreSQL Oracle Git Linux

📚 Currently Learning

Deep Learning · LLMs · Product Management · Cloud Engineering

💼 LinkedIn  |  📍 India

Pinned Loading

  1. plugins plugins Public

    Forked from site24x7/plugins

    Site24x7's repository for plugin integrations.

    Python

  2. Continuous-casting-rul-prediction Continuous-casting-rul-prediction Public

    Machine learning project for Remaining Useful Life (RUL) prediction using industrial process data.

    Jupyter Notebook

  3. Face-mask-detection Face-mask-detection Public

    Real-time face mask detection using TensorFlow, OpenCV, and MobileNetV2.

    Python

  4. Hybrid-stock-market-prediction Hybrid-stock-market-prediction Public

    Hybrid deep learning framework for Indian stock market prediction using LSTM, XGBoost, sentiment analysis, and explainable AI.

    Jupyter Notebook

  5. Customer-segmentation-analysis Customer-segmentation-analysis Public

    Machine learning-based customer segmentation using K-Means clustering and customer behavior analysis.

    Jupyter Notebook

  6. Language-Detection-using-Machine-Learning Language-Detection-using-Machine-Learning Public

    Machine learning-based language detection using TF-IDF, Naive Bayes, and Logistic Regression for multilingual text classification.

    Jupyter Notebook