Neha Gupta

Machine Learning:Classical ML Algorithms ,Supervised & Unsupervised Learning,EDA, Feature Engineering, Clustering, Model Evaluation, Hyperparameter Tuning

Deep Learning: ANN, CNN, RNN, LSTM, Sequence Modeling, Transfer Learning, Image & Text Classification

Generative AI & LLMs: Large Language Models (GPT, BERT, LLaMA), Retrieval-Augmented Generation , LangChain, LlamaIndex, Hugging Face Transformers, Prompt Engineering, Text Generation,Summarization, Question Answering

RAG & Vector Databases: Retrieval-Augmented Generation using FAISS, ChromaDB, Pinecone for semantic search and context-aware LLM applications

Multi-Agent System(Autogen): Developed collaborative LLM agents with tool/function calling, task coordination, and structured communication for code, data, and retrieval-based tasks

Frameworks & Libraries: TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost, LightGBM, Pandas, NumPy, Matplotlib, Seaborn, Plotly

Languages & Databases: Python, SQL,MYSql

Data Analytics & Visualization: Exploratory Data Analysis (EDA), Data Cleaning, Visualization Dashboards

Deployment & Tools: Streamlit, Git, Jupyter Notebook, VS Code

Cloud Platforms: Google Colab, AWS (SageMaker), Azure (OpenAI)