Ruturaj Ramdas Shelake

- Designed and implemented Entity-Relationship models and UML diagrams for IPT Edge Cloud: System, optimizing data models for laser structuring processes and creating database. - Developed containerized infrastructure with Docker, implementing real-time data pipeline using Apache Kafka, Airflow, and PostgreSQL for execution phase monitoring and data persistence. - Created automated data ingestion system with WebGUI and CLI, handling multiple formats and real-time streams.

- Conducted statistical analyses on large-scale battery data for the Crankability Prediction Model (CPM) project, improving informed decision-making by 2% through enhanced data visualizations and reports. - Streamlined data processing using Python for ETL operations, reducing preprocessing time by 3% and enabling faster analysis cycles while preparing datasets for ML pipelines. - Formulated a mathematical equation to adjust cranking curves for temperature variations, enhancing model accuracy.

•Carried out data analysis; identified production data patterns and resolved quality issues, resulting in a 17% reduction in customer complaints and a 12% increase in product satisfaction. •Analyzed time data to optimize processes, resulting in a 10% decrease in inspection time. •Implemented data-driven inventory models, achieved a 15% reduction in material waste. •Prepared detailed reports and visualizations to present data-driven insights to management, utilizing Microsoft Excel and PowerPoint

Topics Focused: Simulation of Dynamical Systems, Data Analysis using python, Deep Learning, Robotics, Machine Learning, Advanced Control, FEM

Topics Focused: Fundamental Programming Languages, Mechatronics, Numerical Method Optimization, Finite Element Analysis, Operational Research