Matplotlib, Scipy, Tensorflow, Nlp, Pandas, Pytorch, Docker, Opencv, Seaborn, Keras, Hugging Face, Scikit-learn, TensorRT, ML libraries, MLflow, model quantisation, ONNX, YOLO, DVC, Agentic AI, spaCy, Transformers, RAG pipelines

Gcp, MLops, Docker, Gitlab, Databricks, Azure, Kubernetes, Python, AWS, LangChain, LLaMA, vector databases, MLflow, Anthropic, Pinecone, LangGraph, Deep Learning Frameworks, FAISS, NLP techniques, OpenAI, Generative AI models, Weaviate

Numpy, Pandas, Docker, Postgres, Flask, FastAPI, Python, Redis

causal inference , Machine Learning, Hadoop, Sql, Hive, MLops, Spark, Python, Generative AI, Model Evaluation, Optimization, Statistical Measurement, Operations Research, AI Engineering, Data Analysis, Simulation

Power Bi, Machine Learning, Tableau, Python, Data science libraries, Statistical Modeling, Data Analysis, R

Natural Language Processing, Performance Tuning, Sql, Deep Learning, Tensorflow, Computer Vision, Pytorch, Python, fine-tuning, Transformers, generative AI, transfer learning, model deployment, temporal GANs, multimodal learning, training large-scale models, ML evaluation techniques, diffusion models

graph databases , Data Modeling, Sparql, Python, Neo4j, Rdf, Elasticsearch, ontology design, Cypher, hierarchical taxonomies, graph systems, owl, JSON-LD, knowledge graph population, Elasticsearch DSL, Knowledge Representation, entity resolution, Gremlin, Neptune, data modeling skills, entity-relationship design

Pandas, Sklearn, Github, Numpy, AWS, Python, Azure, Gcp, Pytorch, LLMs, Transformers, monitoring logging and observability tools, Hugging Face, LLM evaluations, ML libraries, Monitoring, LangChain, RAG, CI CD pipelines, prompt engineering, automated testing strategies

Deep Learning, Sql, AWS Athena, Python, Docker, Hadoop, Kafka, Machine Learning, Spark, Redshift, Flink

Tableau, Sql, Excel, Decision Trees, Hadoop, Pyspark, Machine Learning, Hive, Python, XGBoost, Data Handling, feature engineering, GenAI, Modeling, Powerpoint, Regression