Data Science - Basic, Machine Learning, Technology, AI-Data science

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

attribution , snowflake , BigQuery, Data Quality, Data Modeling, Sql, Spark, Databricks, Python, AI-assisted troubleshooting, ML-driven systems, campaign optimization, Trino, experimentation, RTB bidding, Data pipelines

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

Hadoop, SAS, MATLAB, Sql, Nosql, MySQL, Spss, Spark, Oracle, Python, Teradata, R

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