Tanisha Ayach
@tanishaayach
Intern at IIT, Kharagpur
Bhubaneswar, Odisha
Tanisha Ayach is a Mathematics and Data Science professional with experience in multi-objective optimization and quantum machine learning. She has completed internships at IIT Kharagpur and NISER, and holds an MSc in Mathematics with Data Science. Tanisha is proficient in Python, R, and MATLAB, and has contributed to research in microscopic image segmentation.
Experience
Intern
IIT, Kharagpur
Worked on multi-objective optimization using Nelder-Mead method, demonstrated an evolutionary algorithm for optimizing several objectives based on Nelder-Mead simplex method
Intern
Indian Summer School on Cellular Automata
Took a dataset of microscopic images, instead of one seed point, used multiple seed points for segmentation using Von Neumann & Moore neighbourhood. Used various segmentation rules and analysed for better results
Project intern
NISER
Worked on ‘Supervised quantum machine learning models are kernel methods’, learnt about their similar frameworks, Quantum Computing, Feature maps, Reproducing Kernel Hilbert spaces, Training Quantum models & Advantage of switching to Kernel-based training
Education
Georation, NCVTE, New Delhi
PG Diploma
Geoinformatics
Institute Of Mathematics & Applications, Bhubaneswar
MSc
Mathematics with Data Science
Ravenshaw University, Cuttack
BSc
Mathematics
Bhadrak Junior College, Bhadrak
Intermediate of Science
Science
Licenses & Certifications
Winter School on Deep Learning
Electronics and Communication Sciences Unit (ECSU), Indian Statistical Institute, Kolkata