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I am passionate about transforming raw data into valuable insights and building robust AI solutions. My experience includes hands-on work with data analysis, machine learning, and deep learning, where I have performed data cleaning, preprocessing, and exploratory analysis using Python, Pandas, NumPy, and Excel. I have built and evaluated machine learning models for tasks such as handwritten digit recognition and sentiment analysis, applying techniques like text preprocessing, tokenization, and TF-IDF vectorization in NLP projects. My background also includes creating interactive dashboards in PowerBI, working with tools like TensorFlow, Keras, and Scikit-learn, and deploying end-to-end AI pipelines on Microsoft Azure with MLOps tools. I am skilled at preparing, labeling, and annotating data for various AI applications, including computer vision and natural language processing, and I am committed to delivering accurate, high-quality training datasets that power intelligent systems.
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Bachelor of Science, Artificial Intelligence
ML Intern
AI Intern