Dev Patel

• Project: Driving Optimal Warranty Management with SAS-powered Warranty Analytics o Engineered a paradigm shift in warranty management through predictive analytics, leveraging SAS, to drastically cut warranty expenses. o Automated and fine-tuned the system, eradicating slow processing, errors, and customer dissatisfaction. o Spearheaded proactive measures against product failures using data-driven insights, enabling strategic maintenance planning. o Collaborated closely with suppliers, elevating part quality and curtailing faulty components and ensuing warranty claims. o Impact: Transformed the warranty landscape, minimizing costs and maximizing customer satisfaction. 

• Project: Revolutionizing Quality Control with Computer Vision in XUV700 Defect Detection o Pioneered an ingenious computer vision solution for detecting complex engine deficits in XUV700, reducing manual inspection needs. o Overcame intricate challenges like lighting inconsistencies and distinguishing defects from acceptable components. o Trained a YOLOv7 model, empowering real-time processing, and culminating in superior manufacturing image analysis. o Implemented this model on the production floor, slashing labor requirements and enhancing quality control. o Impact: Elevated product quality, slashed costs, and established a technological stronghold with advanced Python-driven solutions. 

• Project: Innovating Weld Quality Assurance via Sensor-based Weld Gun Tip Dressing o Architected a cutting-edge sensor-based technique for weld quality assurance, focusing on weld gun tip enhancement. o Mastered Python, deep learning, and image processing to create a pioneering solution for wear pattern detection. o Championed multiple metrics, including power consumption, temperature, electrical conductivity, and acoustic emission. o Impact: Spearheaded a quality control revolution, amplifying weld quality, minimizing downtime, and prolonging equipment lifespan.
 

Project: AI-Powered HR Chatbot using LLM Model o Created an AI-driven HR chatbot using the LLM model for accurate responses to employee inquiries. o Handled data collection and processing for PDFs and tabular sources using AWS services. Extracted text from various sources via tools like Amazon Textract, PyPDF2, and PDFMiner. Cleaned, normalized, and stored data in Amazon S3 and DynamoDB for easy access. o Applied Amazon Titan for text data embedding. Utilized Amazon SageMaker for vector representation of key data elements. o Implemented similarity search using Amazon Elasticsearch to find relevant information. o Integrated GPT-4 and LLAMA 2 on Amazon SageMaker for contextual responses. o Generated accurate responses by combining user queries with relevant context. Presented answers through a user-friendly interface, streamlining HR communication.

Master of Science in Data Science Jun 2020 – Mar 2022 Dhirubhai Ambani Institute of Information & Communication Technology (DA-IICT) Gandhinagar, IN Coursework: Big Data Analytics, Deep Learning, Computer Vision, NLP, Optimization GPA: 8.3/10.0 Bachelor of Science in Computational Mathematics and Statistics Jun 2017 – Mar 2020 Uka Tarsadia University (UTU) Bardoli, IN Coursework: Matlab, Statistical Methods, Mathematical Modeling, Finance GPA: 9.3/10.0