Pradyumna Vasudev
Bengaluru
Summary
Engineering consultant with a strong background in analytics, ETL pipeline development, and end-to-end data lifecycle management. Skilled in Python, SQL, PySpark, and Azure, with hands-on experience in processing, transforming, and visualizing large datasets. Passionate Deep Learning Practitioner with independent experience building LLM (RAG) and Computer Vision applications.
Overview
3
3
years of professional experience
Work History
External Engineer
Mercedes Benz research and development India
04.2024 - Current
- Engineered and optimized data pipelines within PLM systems to efficiently manage large-scale product data.
- Streamlined complex Bill of Materials (BOM) data management, collaborating with cross-functional teams to ensure data accuracy, consistency, and cost optimization.
- Architected data integrations between PLM/PDM tools (Smaragd, ACM, DIALOG) and core engineering databases, improving data accessibility and minimizing errors.
- Led a cross-functional team of 4 engineers on data-centric projects, driving engineering change management and ensuring on-time delivery.
- Utilized data analytics to identify and resolve inefficiencies in product data, leading to significant process improvements.
Trainee engineer
Mercedes Benz research and development India
04.2023 - 10.2023
- Built and maintained ETL pipelines using Python (Pandas, NumPy, PySpark) for large datasets.
- Designed interactive dashboards in Tableau to present insights to stakeholders.
- Automated repetitive data processing tasks, cutting manual work by 40%.
- Worked with big data tools and Azure Cloud services for scalable data storage and processing.
- Wrote optimized SQL queries to retrieve, clean, and transform structured and semi-structured data.
Project Intern
REXROTH BOSCH
09.2022 - 10.2022
- Developed a data management master file to organize hydraulic test data for plant operations.
- Designed a user-friendly interface for shop floor testing, improving data input and test result tracking.
- Enhanced data accuracy and reduced downtime by enabling quick identification of performance issues.
Education
Bachelor's Of Engineering - Industrial Engineering and Management
JSS Academy of Technical Education [VTU]
Bangalore07.2023
Skills
Data Engineering & Big Data:
Azure-based ETL pipelines, data cleaning and transformation using PySpark, Pandas, NumPy, SQL, and Big Data frameworks
Programming, Databases & Tools:
Python, SQL, R, Git, PLM/PDM tools (Smaragd, ACM, DIALOG), Siemens NX, and OEM data systems
Analytics & Visualization:
Descriptive, predictive, and prescriptive analytics with Tableau and Power BI, strong presentation skills, supply chain analytics, and Agile/Scrum practices
Deep Learning & AI (Passion):
Hands-on with RAG, PyTorch, Transformers (Hugging Face), LLMs (LLaMA, BERT), LangChain, YOLO, and FAISS for applied AI solutions
Projects (Deep learning)
End-to-End RAG (Retrieval-Augmented Generation) Application | Python, PyTorch, LangChain, Built a chat-with-your-docs system using Llama-3 and LangChain to answer technical queries from PDF documentation., Designed a custom data ingestion pipeline to clean and chunk text, indexing it into a Vector Database for semantic search.
Real-Time Object Detection System | Python, OpenCV, YOLOv8, Fine-tuned a YOLOv8 model on a custom dataset to detect specific objects in video feeds with high accuracy., Optimized the model for inference, implementing basic MLOps practices for model versioning.
Timeline
External Engineer
Mercedes Benz research and development India
04.2024 - Current
Trainee engineer
Mercedes Benz research and development India
04.2023 - 10.2023
Project Intern
REXROTH BOSCH
09.2022 - 10.2022
Bachelor's Of Engineering - Industrial Engineering and Management
JSS Academy of Technical Education [VTU]