Machine Learning, Predictive Modeling, Azure, Python, Sql, Google Cloud, AWS, R, scikit-learn, Statistical Modeling

Git, Python, Sql

process mining , Weights & Biases, Deep Learning, Spark, Databricks, Python, Data Pipelines, Feature Engineering, Sequence Modelling, MLflow, Transformer-based Models, Multimodal Learning Pipelines, Diagnostic Tooling, Hyperparameter Tuning, Large-scale Data Processing, Experiment Tracking, Model Management

Machine Learning, Natural Language Processing, SAS, Sql, Deep Learning, Pandas, Hive, Numpy, Spark, Python, Generative AI, R

attribution modeling , Machine Learning, Pyspark, Neural Networks, Support Vector Machine, Clustering, Sql, Deep Learning, Databricks, Azure, Python, AWS, Advanced Analytics, Predictive Analytics, Regression, Tree-based algorithms, Classification, Recommender System, Gen AI, Data Platforms, Llm

Databricks, Sql, Tensorflow, Deep Learning, Machine Learning, Pytorch, Data Science, Gcp, Sparql, AWS, Python, Azure, cloud environments, semantic data systems, scikit-learn, GQL, semantic models, embeddings, enterprise ontologies, GenAI systems, RAG, semantic retrieval, Statistical Modeling, Cypher, applied AI, enterprise knowledge grounding, graph query languages, ML libraries, vector databases, knowledge engineering, big data infrastructure

snowflake , Sql, Tensorflow, Pandas, Pytorch, Spark, Python, Scikit-learn, vector databases, MLflow, prompt engineering, Agentic AI systems, MLOps practices, MCP Model Context Protocol, LLM-powered applications, Kubeflow, Generative AI LLM Proficiency, RAG pipelines

Data Science, Machine Learning, RDS, Power Bi, Artificial Intelligence, Pyspark, Redshift, MLops, Data Visualization, Text Analytics, GenAI, AWS ecosystem, Agentic AI, Classification, Chatbots, machine translation, Python ecosystem

Git, Machine Learning, Python, Sql, Agentic AI solutions