Working in onsite client location at Daimler India Commercial Vehicles(DICV) R&D1. Develop an automation Feature using Python on Meta Post Processor (Vehicle stress analysis software) that automatically generates a presentation report for the stress involved in the vehicle parts. This process automation saves full day work in minutes for the Vehicle Durability team in the organization Technologies and package used: Python oops concept, PPTX python library, Business Domain Knowledge.2. Conducting exploratory data analysis for vehicle data to identify patterns, trends, and insights.3. Interpreting complex data sets and providing actionable recommendations to stakeholders.4. Developing and implementing machine learning models for predictive and prescriptive analytics. Fine-tuning models for optimal performance and accuracy.5. Collaborating with cross-functional teams to understand business requirements and goals. Communicating technical findings to both technical and non-technical audiences.

📌 Processing the raw data from various sources (PDF, Excel/CSV, SQL) to extract the informative data and prepare the business reports using Python and NLTK libraries.📌 Preparation of SQL queries to retrieve the data as per the business rules to categorize the patent innovation documents.📌 Building interactive dashboards for the customers for in-depth analysis of materials requirements for various applications and innovations using Python, Pandas, Matplotlib, and Streamlit libraries,