DBPal
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Summary
Developed a natural language database query application and a data analytics platform, transforming complex data interactions into user-friendly conversational experiences.
An ambitious Integrated Masters student specializing in Artificial Intelligence and Machine Learning (GPA 8.61), actively developing and deploying advanced ML solutions. Proven ability to architect MLOps pipelines, engineer multimodal chatbots, and build comprehensive data analytics platforms using Python, GCP, and leading AI/ML frameworks. Eager to leverage strong technical acumen and project leadership to contribute to innovative data science and machine learning initiatives.
Member
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Summary
Actively contributed to fostering community engagement and knowledge sharing in Artificial Intelligence and Machine Learning.
Highlights
Coordinated workshops, seminars, and coding events, enhancing learning opportunities and promoting collaboration among peers in AI/ML.
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Integrated Masters of Technology, Specialization in Artificial Intelligence and Machine Learning
Computer Science and Engineering
Grade: Cumulative GPA - 8.61
Issued By
GitHub
Issued By
Coursera
LangChain, Hugging-Face, TensorFlow, LLM, Pandas, NumPy, Matplotlib, Scikit-Learn.
MySQL, MongoDB, GCP, Docker.
Python, C++, SQL.
Git, GitHub, Jupyter, VS Code, Docker Compose.
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Summary
Developed a natural language database query application and a data analytics platform, transforming complex data interactions into user-friendly conversational experiences.
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Summary
Engineered a multimodal medical chatbot leveraging advanced AI models to provide interactive healthcare assistance by analyzing voice commands and medical images.
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Summary
Led the development and deployment of an MLOps pipeline for hotel reservation predictions, enhancing operational efficiency and strategic decision-making.
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Summary
Participated in a data science job simulation, applying analytical skills to real-world business challenges.