Java, Docker, Scala, Python, Data

Machine Learning, Power Bi, Pyspark, Python, Sql, Time-Series Analytics

Machine Learning, Sql, Autoencoders, XGBoost, Databricks, Azure, Python, LangChain, CrewAI, Generative AI, LLMs, anomaly detection techniques, cloud platforms, vector databases, prompt engineering, AutoGen, LangGraph, Isolation Forest, RAG, AI LLM frameworks

Sql, Tensorflow, Numpy, Pandas, Hive, Pytorch, Gcp, MLops, Presto, Spark, Databricks, Azure, Python, AWS, Airflow, scikit-learn, Kubeflow

Tensorflow, Pytorch, Spark, Python, Sql, LangChain, Databricks SQL, LangGraph, Feature Store, MLflow

Pyspark, Data Warehousing, Tableau, Tensorflow, Deep Learning, Nosql, Nlp, Pytorch, Data Visualisation, Python, Machine Learning, Power Bi, Google Cloud, Sql, D3, Qlik, Spark, Clustering, scikit-learn, reinforcement learning, Dash, R, Shiny, statistical learning, MLlib, H2O, tree-based models, Regression

Pytorch, Data Modeling, Predictive Analytics, Tensorflow, Numpy, Tableau, Data Visualization, Rest Apis, Pandas, Machine Learning, MLops, BigQuery, Power Bi, Data Architecture, Python, Firebase, Google Cloud Platform, Looker Studio, Vertex AI, Scikit-learn

data engineering , Machine Learning, Pyspark, Azure Databricks, ELT, Deep Learning, Tensorflow, Nlp, Azure Data Factory, Pytorch, Docker, Kubernetes, Python, Etl, GCP AI ML, scikit-learn, Data Pipelines, AI ML Workflows, anomaly detection, Data Lakehouse Architectures, AWS Sagemaker, Delta Lake

Requirements Analysis, Predictive Modeling, Programming, Data mining, SQL query language, Python-based ML frameworks, Statistical Modeling, AI ML development, Cloud-based implementation