Deep Neural Network Models (CNN, Transformers), Large Language Models (LLMs), Predictive Modeling, Sql, Tensorflow, Pytorch, Rnn, Python, Machine Learning Frameworks, Conversational AI Solutions, Classical Analytics Tools, NLP Models

Tensorflow, Pyspark, Scala, Spark, Keras, Python, scikit-learn, MLlib, Machine Learning techniques

Nlp, Git, Pytorch, Docker, Statistical Analysis, Kubernetes, PEFT, pgvector, scikit-learn, Huggingface transformers, vLLM, Containerisation, LangGraph, dvc, spaCy, LoRA fine-tuning, Large Language Models

Machine Learning, Pyspark, Sql, Deep Learning, Tensorflow, Data Science, Nlp, MLops, Pytorch, Advanced Analytics, Big Data Technologies, Python, Computer Vision, Generative AI, LLMs, MLlib, Gradio, Ai, Scikit-Learn, Cloud-native Architectures, Agentic AI, semantic search, Streamlit

Statistical Analysis, Data mining, Clustering, Autoencoders, Machine Learning, Predictive Modelling, Dimensionality reduction, Ai, Linux experience, Outlier detection, Applied statistics, Semi-supervised methods

Logistic Regression, Decision Tree, Linear Regression, Svm, scrapy, Pca, Sql, Random Forest, Nosql, Neural Network, Pandas, Gcp, Numpy, Spark, Azure, Python, AWS, scikit-learn, K-mean Clustering, R, scapy, BERT

Machine Learning, Sql, Deep Learning, Azure ML, Nlp, Pytorch, Python, AWS, BGE, SimCSE, SFT, LLMs, E5, GraphRAG, semantic search, FAISS, LoRA, RAG, Transformers, Milvus, Weaviate, QLoRA, Knowledge Graphs

statistical data analysis , Data Manipulation, Machine Learning, Sql, Python Programming, Clustering, Software Development Methodologies, Project Delivery, UNIX command line, Agile development practices, anomaly detection, Classification, ML Ops, model evaluation, Azure AI Search, feature engineering

Predictive Modeling, Machine Learning, Power Bi, Hypothesis Testing, Tableau, Sql, Gcp, Data Visualization, Azure, Python, AWS, Forecasting, Feature Engineering, model validation, Statistics