Collaborated with business and engineering teams to implement statistical best practices inexperimental design, data capture, and data analysis.Acquired 6 months of hands-on experience in data extraction, processing,preparation/cleaning, analysis, ingestion, validation, and interpretation using Python.Ensured data accuracy and reliability by working closely with data engineers, softwaredevelopers, and product teams.Utilized Python for object-oriented programming and writing analytical queries.Applied pandas, numpy, and matplotlib for efficient data manipulation and visualization.Designed and developed data pipelines using Databricks to streamline data transfer fromsource to target systems.Monitored and resolved data pipeline failures using Power BI dashboards.Conducted Exploratory Data Analysis (EDA) to uncover patterns and insights.Leveraged AWS services (Athena, EMR, S3, Glue ETL) for comprehensive data analysis andprocessing.Managed repositories with Azure DevOps and used GIT for version control.Utilized Microsoft Excel for detailed data analysis and reporting.Demonstrated strong analytical and problem-solving skills throughout various projects.Quickly mastered new technical concepts and applied them effectively in a productivemanner.