Rudra Tomer

Data Science Intern — Shukla E-Waste Processor

At Shukla E-Waste Processor, I worked as a Data Science Intern where I analyzed operational datasets, automated data cleaning workflows, and created dashboards to track recycling efficiency and material recovery trends. I contributed to improving decision-making by applying machine learning techniques, identifying process patterns, and optimizing reporting pipelines. My work helped the team monitor KPIs more accurately and streamline daily operations.

AI Intern — Bcon 

As an AI Intern at Bcon , I developed and implemented a Retrieval-Augmented Generation (RAG) pipeline for an internal chatbot, enabling it to provide accurate and context-aware responses using company documents.

I am a final-year B.Tech student in Computer Science Engineering, building a strong foundation in Artificial Intelligence, Machine Learning, Deep Learning, and Data Science. Throughout my degree, I have worked on practical AI projects including satellite image segmentation, CNN-based face classification, and RAG-powered chatbots. My academic training, combined with hands-on project work, has strengthened my skills in Python, TensorFlow, PyTorch, NLP, and computer vision, preparing me for real-world AI and engineering roles.