Madhuri R.

WORK HISTORY

EDUCATION

ABOUT MADHURI R.

Overall, I have around 8+ years of working experience in data modeling, analyzing, developing, maintaining, documenting, and monitoring business historical data and flow charts with 100% CI/CD-based initiatives. Working experience in AWS big data engineering, data science and analysis. Certified in Big Data and Analytics by the Indian Institute of Management (IIM). Additional knowledge of Classical learning with ML, AWS, Big Data, and Message broker. As R&D data analyst engineer,* Analyzed and aggregated level drilled-down analyses for each use case on large datasets to identify trends and patterns in user behaviors with geographical views.* Analyzed test process of the script of data flow with 100% into S3, Implementation of configurable functionality to the KPIs using bash scripting and Scala programming.* Implementation of configurable functionality for the project using bash scripting and Scala programming.* Developed and maintained the CloudFormation stack for the resource with IAM roles and other resource for near & real-time data processing.* Developed an architecture for cloud distribution to download the files from S3 for Android and iOS.* CI/CD pipeline handling with Jenkins, git hub etc.* AWS cloud solutions handling for big data process.* Big data handling – EMR clusters, Spark-Scala.* Built visualizations in Tableau or Brytlyt for products and regions. At BOSCH SOFTWARE INNOVATIONS, As an intern was responsible for * Developed complex feature engineering based on process knowledge and insights from interactive data exploration and visualization, analyzing test process data using machine learning methods to optimize test processes, in agile development process.* Data pre-processing of sample data for testing and further development of a microservice for generating reference curves.* Analyzing the manufacturing and consumer data in different formats using Python with Pandas Scikit-learn, NumPy, Matplotlib, and others libraries, and evaluated a REST-API interface.* Deep dive of client manufacturing Process to understand existing operations and faults for analysis.