Machine Learning Algorithms, Deep Learning, Image Processing, MongoDB, Predictive Analytics, Python, Visualization, Linux environments, Model monitoring, Advanced Statistical Modelling, NoSQL databases, Data Processing, Recommendation Systems, R, RDBMS SQL, Data Gathering, Large-scale datasets, Statistical Techniques

attribution modeling , Ml, Machine Learning, Pyspark, Support Vector Machine, Clustering, Sql, Deep Learning, Neural Networks, Databricks, Azure, Python, AWS, DL, Ai, Regression, Tree-based algorithms, Classification, Cloud Systems, Recommender system

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

Data Science, Machine Learning, RDS, Power Bi, Artificial Intelligence, Pyspark, Redshift, Python, AWS

Tensorflow, System Design, Computer Vision, Python, Pyspark, Torch, Recommendation engines, Graph Knowledge Bases, Large-scale Search systems, Image Understanding models, Generative AI

data engineering , Machine Learning, Python, Sql, Data Analysis, Causal AI, Structured Causal Models

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

Pyspark, Machine Learning, Data Mining, Excel, Python, Sql, AWS, R, Rspark, Statistical Pattern Recognition