Skip to content
View Syed8558's full-sized avatar
  • Open to work
  • India

Block or report Syed8558

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Syed8558/README.md

Hi 👋, I'm Syed Sadath G

🚀 Data Scientist & Machine Learning Engineer
🔍 Specializing in NLP, Deep Learning, Computer Vision & MLOps
📍 India | 💼 Open to Work

I build end-to-end, production-ready machine learning systems that transform raw data into actionable insights.
My work focuses on search systems, NLP pipelines, computer vision models, and scalable ML deployments.


🧠 Core Skills & Technologies

Languages & Data

  • Python, SQL, NumPy, Pandas

Machine Learning & AI

  • Machine Learning, Deep Learning
  • Natural Language Processing (NLP)
  • Computer Vision (CNN, YOLO)

Frameworks & Tools

  • Scikit-learn, TensorFlow, PyTorch
  • HuggingFace, Sentence Transformers
  • MLflow, FastAPI

MLOps & Deployment

  • Docker, Git, GitHub
  • Model tracking & experimentation
  • REST APIs for ML models

📌 Featured Projects

🔹 Search Latency Benchmarking

  • Compared BM25, cosine similarity, Euclidean distance, and ChromaDB
  • Benchmarked query latency on real-world JSON helpdesk ticket data
  • Focused on performance vs semantic accuracy trade-offs
    ➡️ Information Retrieval | NLP | Vector Databases

🔹 IT Helpdesk Ticket Classifier

  • Built RNN-based NLP classifier for ticket categorization
  • Automated issue routing for faster resolution
    ➡️ NLP | Deep Learning

🔹 Telecom Churn Prediction with MLflow

  • End-to-end ML pipeline with experiment tracking
  • Improved model reproducibility and monitoring
    ➡️ MLOps | MLflow

🔹 Construction Safety Detection (YOLOv10)

  • Real-time object detection for safety compliance
  • Trained custom YOLO model on real datasets
    ➡️ Computer Vision | Deep Learning

🔹 YouTube Sentiment Analysis

  • NLP-based sentiment classification on video comments
  • Used text preprocessing and ML models
    ➡️ NLP | Text Analytics

📊 GitHub Stats


🌱 What I’m Currently Working On

  • Advanced NLP & semantic search systems
  • Vector databases & Retrieval-Augmented Generation (RAG)
  • Scalable ML pipelines & MLOps best practices

🤝 Let’s Connect


If you like my work, feel free to star repositories or connect with me!

Pinned Loading

  1. search-latency-benchmark search-latency-benchmark Public

    Benchmarks lexical and semantic search techniques (BM25, cosine similarity, Euclidean distance, and ChromaDB) using real-world JSON helpdesk ticket data, focusing on query latency and retrieval per…

    Python

  2. Smart-IT-Helpdesk-Chatbot Smart-IT-Helpdesk-Chatbot Public

    Smart IT helpdesk chatbot that retrieves the most relevant support ticket using NLP-based similarity techniques such as BM25, cosine similarity, and Euclidean distance.

    Python

  3. TELECO-CHURN-MLFLOW TELECO-CHURN-MLFLOW Public

    MLflow-based Telco Customer Churn Prediction system that tracks, compares, and stores machine learning experiments. Built using Python, Scikit-learn, and MLflow to demonstrate real-world MLOps work…

    Python

  4. youtube-sentiment-analysis-nlp youtube-sentiment-analysis-nlp Public

    Real-time YouTube sentiment analysis using BERT and Streamlit

    Python

  5. IT-helpdesk-ticket-classifier-rnn IT-helpdesk-ticket-classifier-rnn Public

    RNN-based NLP system that automatically classifies IT helpdesk support tickets into categories like hardware, software, network, and security issues. Built using TensorFlow, Python, and FastAPI to …

    Python

  6. construction-safety-yolov10 construction-safety-yolov10 Public

    Real-time construction site safety monitoring system using YOLOv10 to detect helmets, safety vests, and PPE violations from live video. Built with Python, OpenCV, and deep learning for industrial s…