Uday Kiran Kodeboyina

Data Science student with comprehensive knowledge of data science techniques, including Process Mining, Natural Language Processing, and advanced machine learning. Experienced in applying analytical methods to uncover insights and optimize processes, with a passion for turning data into impactful solutions.

• Hierarchical Text Classification of Amazon Reviews
  Developed and fine-tuned deep learning models (BERT, HAN, GNN) for multi-level classification of 40K+ Amazon product reviews. Optimized preprocessing and hyperparameters to address class imbalance, achieving 88% accuracy at Level 1 and 68.7% at Level 2, significantly outperforming baseline Decision Tree and Random Forest models.
• Sentence Pair Classification using RoBERTa
  Fine-tuned RoBERTa transformer models for paraphrase detection (MRPC) and entailment detection (RTE), achieving 82%+ accuracy on NLI tasks. Explored frozen vs. fully trainable approaches, optimized hyperparameters, and demonstrated the effectiveness of full fine-tuning in capturing semantic relationships between sentence pairs.
• Quantum Computing in Image Processing
  Implemented quantum-inspired algorithms for image classification, compression, segmentation, and cryptography using MNIST dataset. Achieved 90% accuracy with Quantum SVM (vs. 74% classical SVM) and demonstrated superior image compression fidelity and secure quantum cryptography, showcasing the potential of quantum computing in digital image processing

• IBM Data Science Professional Certificate – Coursera
• DeepLearning.AI Natural Language Processing Specialization – Coursera
• Generative AI with Large Language Models (LLMs) – DeepLearning.AI & AWS
• Hugging Face Transformers Certification – Hugging Face
• AWS Certified Machine Learning – Specialty – Amazon Web Services
• Microsoft Azure AI Engineer Associate – Microsoft

• Programming & Tools: Python, R, SQL, Jupyter, Streamlit
• Machine Learning & AI: Scikit-learn, TensorFlow, PyTorch, NLP (SpaCy, Hugging Face), Deep Learning (CNN, RNN, GANs)
• Cloud Platforms: AWS (SageMaker, EC2, S3), Azure ML, Google Cloud (Vertex AI, BigQuery)
• Data Analytics & Visualization: Pandas, NumPy, Tableau, Power BI, Matplotlib, Seaborn