Sql, Deep Learning, Python, Computer Vision, Transfer Learning, TensorRT, Model Evaluation, Batching, Quantization, Attention Mechanisms, CNNs, GPU Inference, ONNX, Vision Transformers, Mixed Precision

loss reserving , Adf, ELT, Python, Dimensional Modeling, Databricks, Etl, MLflow, vector databases, CI CD, GenAI platforms, Retrieval-Augmented Generation, document ingestion, Spark notebooks, indexing pipelines, Databricks Workflows, LLMs, Pricing Models, risk scoring, Unity Catalog, BI concepts, agentic workflows, analytics engineering, Delta Lake, claims analytics

process mining , Deep Learning, Nlp, Spark, Databricks, Python, sequence modelling, data pipelines, unsupervised ML, ML models

graph databases , Tensorflow, Nlp, Pytorch, Gcp, Neo4j, Azure, Python, AWS, GenAI, LLMs, knowledge graphs, Scikit-learn, DGL, cloud AI ML services, vector stores, MLOps practices

Machine Learning, Apis, Nlp, Git, Azure cloud services, Python, embeddings, Generative AI, data pipelines, LLMs, vector databases, CI CD, semantic search, RAG architectures

Sql, Deep Learning, Python, Computer Vision, Transfer Learning, TensorRT, Batching, Quantization, CNNs, GPU Inference, ONNX, Vision Transformers, Mixed Precision

Matplotlib, Power Bi, Csv, Pyspark, Apache Spark, Tableau, Json, Sql, ELT, Numpy, Pandas, Azure Data Factory, Gcp, Seaborn, Databricks, Rest Apis, Azure, Python, Etl, AWS, scikit-learn, data visualization tools

Kafka, Sql, Tensorflow, Numpy, Azure ML, Pandas, Pytorch, MLops, Spark, Python, Etl, scikit-learn, GCP Vertex AI, AWS SageMaker

Azure ML, Git, Pytorch, Gcp, Flask, FastAPI, Rest Apis, Azure, Python, AWS, LangChain, Weights Biases, Generative AI, LLMs, Hugging Face Transformers, MLflow, CI CD, Langgraph, Transformers, SageMaker pipelines