Data Scientist | Medical Imaging
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A master’s student at the University of Birmingham, United Kingdom pursuing an MSc in Artificial Intelligence and Machine Learning. A Data Science practitioner with 13 months of work experience in designing and developing Natural Language Processing and Computer Vision models. Proficient with collating data, Exploratory Data Analysis, and Mathematical modelling. Adaptive in collaborating with diverse and high-performing professionals for developing end-to-end ML frameworks and solutions.
In my professional experience, I have completed research internships that have honed my skills in the fields of information retrieval, document re-ranking, and natural language processing.
University, I transformed models to improve nDCG scores and demonstrated proficiency in data preparation, sentence embedding, and result analysis. At Samsung R&D Institute India-Bangalore, I developed an Automatic Speech Recognition system for code-switching identification with over 80% accuracy. Additionally, as an ML Intern at Inventeurs, I worked on image classification and achieved a significant performance boost.
These experiences have equipped me with strong analytical and problem-solving abilities.
My education background includes pursuing an MSc in Artificial Intelligence & Machine Learning at the University of Birmingham, UK, where I've gained expertise in machine learning, computer vision, and mathematical foundations for AI. I hold a Bachelor of Technology in Computer Science & Engineering from SRM Institute of Science & Technology, India, with a remarkable academic record, including subjects like data structures, natural language processing, and data mining. My education has provided me with a strong foundation in computer science and AI, making me well-prepared for research in Near-infrared Diffuse Optical Tomography, where data-driven techniques are crucial.
