natural_language_process_nlp_notes's Introduction

👋 Hi, I’m Gopinath

Data Scientist with a strong background in Generative AI, Multi-Modal AI, LLMs, Deep Learning, NLP, Computer Vision, Predictive Modeling, Machine Learning, Analytics, and Big Data. I specialize in transforming enterprises with Multi-Modal AI to drive superior decision-making.

🛠️ Technical Skills

Programming Languages: Python, SQL
Database Technologies: MySQL, PostgreSQL, MongoDB
Data Analysis Libraries: Pandas, NumPy, Statsmodels, Dask
Data Visualization Libraries: Matplotlib, Plotly
Machine Learning Libraries: Scikit-learn, XGBoost, LightGBM, CatBoost
Deep Learning Libraries: TensorFlow, Keras, PyTorch
Natural Language Processing (NLP): NLTK, spaCy, Hugging Face Transformers, BERT, GPT-3, GPT-4, RoBERTa
Computer Vision (CV): OpenCV, TensorFlow, Keras, PyTorch, YOLO, OpenPose, DLIB
Generative AI: GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), DALL-E, Stable Diffusion
Large Language Models (LLMs): GPT-3, GPT-4, BERT, RoBERTa, T5, LLaMA, BLOOM
Big Data Frameworks: Cassandra, Hadoop, Spark
Cloud Platforms: AWS, Google Cloud Platform
Version Control: Git, GitHub
Model Deployment and Serving: Docker, Kubernetes, TensorFlow Serving, Flask, Django, FastAPI, BentoML, MLflow
Integrated Development Environments (IDEs) and Notebooks: Jupyter Notebooks, PyCharm, VS Code, Google Colab

🚀 Projects

Project 1 Title: Brief description of what the project entailed and the technologies used.
Project 2 Title: Brief description of what the project entailed and the technologies used.
Project 3 Title: Brief description of what the project entailed and the technologies used.

💼 Experience

Jr. Design Requirement Analyst at Vectra Automation (1 year)
- Worked on analyzing design requirements and coordinating with cross-functional teams to ensure alignment with project goals.