🚀 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.
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
🔹 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
- Advanced NLP & semantic search systems
- Vector databases & Retrieval-Augmented Generation (RAG)
- Scalable ML pipelines & MLOps best practices
- 💼 LinkedIn:https://www.linkedin.com/in/syed-sadath-g-4224b71ab
- 📧 Email: syedsadath.ds8558@gmail.com
⭐ If you like my work, feel free to star repositories or connect with me!