Data Science, Nlp, Machine Learning, Python, Ai

Pyspark, Apache Hadoop, Machine Learning, Apache Spark, Sql, Devops, Data Science, Numpy, Pandas, Powerbi, Agile, Cloudera, Databricks, Azure, Rapidminer, Python, Big data frameworks, Scikitlearn

Excel, Sql, Logistic Regression, Time Series, Clustering, Kubernetes, Decision Trees, Feature selection, Boosting, Regularization techniques, Regression, Statistical Techniques

Pandas, Spark, Python, Tuning the models, Tuning of Data, Lang Chain, Data frames, Core Data science skills, Gen AI, anomaly detection, Agentic AI, Product configuration, RAG, Azure AI, data models

Aws Lambda, Machine Learning, Data Modelling, Uipath, AWS Glue, AWS Athena, Sql, Data Analytics, Python, Aws S3, GenAI, AWS Bedrock, n8n, Statistical methods, Claude Code, OpenAI Codex, AWS Kiro, GitHub Copilot, Data Quality Validation, AI output evaluation, PoC Development

Numpy, Scipy, Pandas, Apache Spark, Databricks, Python, scikit-learn, Jupyter

Apache Hadoop, Powerbi, Pyspark, Apache Spark, Cloudera, Databricks, Rapidminer, Python, Sql

Performance Tuning, Data Governance, Databricks, AWS, Data Analysis, model training, Monitoring, analytics pipelines, cloud-native AWS services, Analytics, recommendation models, data ingestion, Databricks Spark, feature engineering, security standards, refinement

Python, Logistic Regression, Machine Learning, Neural Networks, Sql, Databases, Decision Trees, Random Forests, R, Model Monitoring, Gradient Boosting Machines, Model Deployment, Scalable Systems Design, CI CD practices