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Amit KumarMachine Learning,Deep Learning,statistics
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I am a professional with expertise in Deep Learning, Machine Learning, Data Structures, NLP, Computer Vison and Statistics. With a passion for education and student success, I simplify complex concepts, provide engaging lectures, and practical exercises to empower students in these subjects. I stay up-to-date with industry advancements, ensuring my teaching aligns with best practices. Through a focus on real-world problem-solving, I equip students with the skills needed for today's data-driven world. I foster a collaborative learning environment where students can ask questions, explore ideas, and develop analytical skills. As a Subject Matter Expert, I provide individualized support, helping students overcome challenges and reach their full potential. I am dedicated to inspiring the next generation of data scientists and AI practitioners.
Subjects
Machine Learning Beginner-Expert
Deep Learning Beginner-Expert
Data Structure (C++) Beginner-Expert
Deep Learning Projects in Python Beginner-Expert
Statistics and data analysis Beginner-Expert
Experience
Teaching Assistantships (Jul, 2022–Dec, 2022) at IIIT Guwahati
Create and administer assessments, projects, and assignments to assess students' comprehension and progress, providing timely feedback and guidance for improvement and Facilitate hands-on coding exercises, practical demonstrations, and real-world case studies to help students apply Deep Learning concepts effectively.
Teaching Assistantships (Jan, 2022–May, 2022) at IIIT Guwahati
Develop and deliver engaging and comprehensive lectures, tutorials, and workshops on various topics within Machine Learning, tailored to different levels of learners (beginner, intermediate, advanced) and Support students in applying Machine Learning concepts through hands-on coding exercises, practical examples, and real-world case studies.
Education
M Tech (Jul, 2021–May, 2023) from IIT Guwahati–scored 9.0/10
B Tech (Jul, 2017–Jul, 2021) from M.J.P. Rohilkhand University, Bareilly–scored 8.53/10