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I am Sanket Agarwal, a passionate Data Scientist currently pursuing my Master of Science in Data Science at King's College London. With a strong academic background and hands-on experience in AI-powered tools and algorithm optimizations, I thrive on leveraging data to solve real-world problems and enhancing efficiency through innovative solutions. Throughout my career, I have developed full-stack AI systems, led projects in multimodal healthcare AI, and contributed to early depression detection research. I enjoy mentoring aspiring professionals and continuously exploring advancements in machine learning, NLP, and web development to create meaningful impact.…I am Sanket Agarwal, a passionate Data Scientist currently pursuing my Master of Science in Data Science at King's College London. With a strong academic background and hands-on experience in AI-powered tools and algorithm optimizations, I thrive on leveraging data to solve real-world problems and enhancing efficiency through innovative solutions. Throughout my career, I have developed full-stack AI systems, led projects in multimodal healthcare AI, and contributed to early depression detection research. I enjoy mentoring aspiring professionals and continuously exploring advancements in machine learning, NLP, and web development to create meaningful impact.

Sanket Agarwal

Data Scientist, AI Engineer, Developer, +2

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I am Sanket Agarwal, a passionate Data Scientist currently pursuing my Master of Science in Data Science at King's College London. With a strong academic background and hands-on experience in AI-powered tools and algorithm optimizations, I thrive on leveraging data to solve real-world problems and enhancing efficiency through innovative solutions. Throughout my career, I have developed full-stack AI systems, led projects in multimodal healthcare AI, and contributed to early depression detection research. I enjoy mentoring aspiring professionals and continuously exploring advancements in machine learning, NLP, and web development to create meaningful impact.…I am Sanket Agarwal, a passionate Data Scientist currently pursuing my Master of Science in Data Science at King's College London. With a strong academic background and hands-on experience in AI-powered tools and algorithm optimizations, I thrive on leveraging data to solve real-world problems and enhancing efficiency through innovative solutions. Throughout my career, I have developed full-stack AI systems, led projects in multimodal healthcare AI, and contributed to early depression detection research. I enjoy mentoring aspiring professionals and continuously exploring advancements in machine learning, NLP, and web development to create meaningful impact.

Available to hire

I am Sanket Agarwal, a passionate Data Scientist currently pursuing my Master of Science in Data Science at King’s College London. With a strong academic background and hands-on experience in AI-powered tools and algorithm optimizations, I thrive on leveraging data to solve real-world problems and enhancing efficiency through innovative solutions.

Throughout my career, I have developed full-stack AI systems, led projects in multimodal healthcare AI, and contributed to early depression detection research. I enjoy mentoring aspiring professionals and continuously exploring advancements in machine learning, NLP, and web development to create meaningful impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Data Scientist at Applus IDIADA

August 31, 2024 - August 31, 2025

Co-developed an AI-powered Django-based resource planning tool that enhanced resource allocation and team utilization. Proposed and implemented SQL query optimizations reducing database load time by 83%, significantly improving responsiveness for managers. Mentored three interns who successfully delivered a custom ETL data harvesting platform and secured full-time roles.

Data Science Intern at Applus IDIADA

January 31, 2023 - August 31, 2025

Developed an AI-based HR recruitment portal using Django and Selenium to automate candidate ranking from resume-job description matches. Built a ranking algorithm processing over 100 resumes in under 250 seconds, saving 40+ hours monthly. Delivered a full-stack production-grade system using Python, BeautifulSoup, HTML, CSS, and JavaScript.