Java, Machine Learning, data mining, Mapreduce, Pig, Advanced Sql, Hive, Spark, Python, big data ecosystems, statistical pattern recognition, R

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

Gcp, Ml, AWS, Pytorch, Tensorflow, Kubernetes, Python, Azure, MLops, Llm, scikit-learn, GenAI

Tensorflow, Machine Learning, Hive, Pytorch, Hadoop, Apache Spark, Sql, Deep Learning, Generative Models, Recommendation Systems, scikit-learn

React, Flask, Python, Shiny, R, Streamlit

Numpy, Pytorch, Python, Tensorflow, Pandas

Logistic Regression, Pyspark, Predictive Modeling, Machine Learning, Factor Analysis, Decision Trees, MLops, Python, Statistical Analysis, MMM Models, Principal Components, Pricing and Promotion Analysis, Association Rule Mining, Business Analytics, K-Nearest Neighbour, Unsupervised Learning Methods, Discriminant Analysis, Random Forests, Support Vector Machines, Marketing Analytics, Supervised Learning Methods, Time Series Forecasting, K-Means Clustering

Aws Lambda, Machine Learning, SAS, Sql, Amazon Redshift, Matlab, Python, Data Analysis, Amazon QuickSight, Amazon SageMaker, R, Statistical Modeling

Structured Query Language, Kubernetes, Python, generative AI applications, agent-based AI workflows, data pipelines, data analysis techniques, Relational Databases, large language models, automated build test and deployment pipelines