data engineering , Advanced Analytics, Machine Learning, Apache Spark, Kafka, Sql, Big Data Technologies, ELT, Deep Learning, Nlp, Data Quality, Gcp, Data Science, Data Governance, Azure, Etl, AWS, Airflow, Generative AI, cloud-native architecture, NoSQL databases, model deployment, ML Ops

Machine Learning, Neural Networks, Deep Learning, Tensorflow, Numpy, Pandas, Pytorch, Time Series Analysis, Data Visualization, Decision Trees, Agile, Keras, Statistical Analysis, Python, scikit-learn, Regression, Ensemble Methods, Classification, Bayesian Techniques

Data Science, Ml, Python, Ai, Ragas, Deepeval, Llm, Langchain

Chatbot, AI Machine Learning, genarative AI, Llm

snowflake , Sql, Numpy, Git, Azure Data Factory, Pandas, XGBoost, Microsoft Azure, Azure Machine Learning, Python, Azure DevOps, LightGBM, CI CD, Scikit-Learn, Synapse, GitHub Actions, GitLab CI CD, Fabric

containerization , Orchestration, Neural Networks, Svm, Tensorflow, Nlp, Pytorch, Docker, Excel, Python, Hadoop, Version Control, Impala, Sql, Hive, Computer Vision, Spark, Qlikview, Kubernetes, GPT, machine learning techniques, R, MLOps tools, BERT, GANs, generative AI techniques, deep learning algorithms, recommender engines, Big Data Tools

Machine Learning, Multivariate Analysis, Unsupervised Learning, Cloud Infrastructure, Data Science, Business Intelligence Tools, Advanced Analytics, Data Warehousing, Python, Mathematical Optimization, Feature Engineering, Time-Series Analysis, High-Performance Computing, Outlier Detection and Treatment, Missing Value Treatment, supervised learning, R, Model Deployment, Statistical Modeling, Probability Statistics

Tensorflow, Pytorch, Hadoop, Spark, Databricks, Scikit-learn, Azure/GCP/AWS

Python, cloud-based AI platforms, RAG pipelines, GenAI technologies, large language models, agentic workflows, production ML workflows, AI-powered microservices, AWS SageMaker