containerization , agent coordination, Azure ecosystem, cloud-native GenAI solutions, agent-based workflows, LLM APIs, vector databases, CI CD, embedding generation, Python 3.11, model monitoring

data engineering , Machine Learning, Natural Language Processing, Statistical Analysis, Sql, Python, Cloud Platforms, Generative AI

Pyspark, Predictive Modelling, Machine Learning, data mining, Artificial Neural Networks, Tensorflow, Numpy, Pandas, Flask, FastAPI, Clustering, Python, Generative AI, scikit-learn, model deployment, feature engineering

snowflake , Machine Learning, Scipy, Natural Language Processing, Sql, Numpy, Gcp, Pandas, Presto, Spark, Databricks, Azure, Python, AWS, LangChain, Hugging Face, Scikit-learn, Retrieval-Augmented Generation, LangGraph, Trino, Large Language Models

Tensorflow, Pandas, Pytorch, Hadoop, Spark, Sql, Python, AWS, Scikit-learn

Machine Learning, Data Transformation, Automation, Python, Sql, GenAI, Applied Mathematics, Statistical Modeling, ETL processes, Data pipelines

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

Sql, ELT, Numpy, Pandas, Pytorch, Gcp, XGBoost, Azure, Python, AWS, Etl, scikit-learn, MLflow, SageMaker, Kubeflow

Python Libraries - SciPy, Java, Numpy, Pandas, Linux, Python, AWS, Machine learning concepts and algorithms, Data Interpretation, Scikit-learn, R, Jupyter, Statistical machine learning concepts

Recommender Systems, Machine Learning, Svm, Clustering, Deep Learning, Nosql, Nlp, Sed, RDBMS, Linux, Awk, XGBoost, MongoDB, Python, GLMM, GLM, Regression, Bayesian Methods, Dimensionality Reduction, R, Sem, Tree-based Learners