KDKaustav Das is experienced in Machine Learning, Deep Learning, and Image Processing techniques. He is proficient in various supervised and unsupervised ML algorithms and Deep Learning algorithms, utilizing strong Python programming skills. He is capable of working in a team and staying updated with new technologies.
Experience
Conference Presentation
Adamas University (IEEE sponsored)
AI driven project using Brain MRI presented in IEEE Conference on Advances in Medical Physics and Healthcare Engineering (AMPHE) organized by Adamas University. Conference paper published by Springer, Singapore.
Project
University of Calcutta
This project includes preparation of image data by extracting significant shape based features and then segmentation using Fuzzy clustering technique. Further classification has been done using Support Vector Machine classifier. Got accuracy of 96.4%.
Project
University of Calcutta
Thesis preparation and presentation on designing a simple low-cost Arithmetic and Logic Unit (ALU) using Field Programmable Gate Array (FPGA). Used Xilinx Spartan 3 FPGA kit.
Workshop Volunteer
IEEE WIE Group
Worked as a volunteer in a workshop on “FPGA based Digital Circuits and Systems Design” organized by IEEE WIE Affinity Group, Kolkata (2017).
Education
University of Calcutta
M.Tech
Radio Physics and Electronics
CGPA: 8.98/10 in Radio physics and Electronics.
University of Calcutta
B.Tech
Radio Physics and Electronics
CGPA: 7.82/10 in Radio physics and Electronics.
Asutosh College, University of Calcutta
B.Sc (Honours)
Electronic Science
64.12%.
Licenses & Certifications
Introduction to Machine Learning
Indian Institute of Technology, Madras
Programming, Data Structures And Algorithms Using Python
Indian Institute of Technology, Madras
Certificate of Presentation (IEEE Conference on Advances in Medical Physics and Healthcare Engineering)
Adamas University, Kolkata
Volunteer Certificate (IEEE Workshop)
IEEE WIE group
C Programming Course
CMC Academy, A TATA Enterprise