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About

Aditi Joshi is a dedicated professional with a strong background in academia and software engineering. With nearly 2 years as an Assistant Professor at Swarnim Startup and Innovation University, she excels in teaching, project mentoring, and seminar conduction. Simultaneously, her 11-month tenure as a Software Engineer at Certified Insane Consulting Analytics showcases her expertise in Java, Spring, Hibernate, and WordPress management. Aditi is currently pursuing a PhD in Deep Learning at LDRP-ITR, Kadi Sarva Vishwavidyalaya, building on her Master's and Bachelor's degrees in Information Technology. Her proactive approach is further underscored by certifications in Python, Machine Learning, and Deep Learning, emphasizing her commitment to technical advancement and education.

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Skills

Education

LDRP Institute of Technology & Research (LDRP-ITR), Gandhinagar

Ph.D in Computer Software Engineering

Passout Year: 2019

Projects

Jun-2017 to Jun-2018

Sanskrit and Hindi Number Recognition from Constrained

A new method for the classification of freeman chain code using four-connectivity and eight-connectivity events with Deep learning approach is presented. Application of CNN (LeNet -5) is found to be suitable to get results in these cases as the numbers are formed with curved lines. In contrast with the existing FCC event data analysis techniques, sampled grey images of the existing events are not used, but image files of the three-phase PQ event data are analyzed by taking the advantage of the success of the deep learning approach on image-file-classification.
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Conference/Seminar/STTP/FDP/Symposium/Workshop

Workshop
  • dott image Nov 2019

Python

Hosted By:

Swarnim Gujarat Sports University - [SGSU], Gandhinagar ,

Gandhinagar, Gujarat, India
November 2019 Conducted a 2-days hands-on workshop on Python at Swarnim Startup And Innovation University-Gandhinagar, Gujarat, India

Certificates

Issued : Feb 2019
  • dott image By : IBM
  • dott image Event : What is Data Sc...
What is Data Science? by IBM

Scholar9 Profile ID

S9-072024-1201772

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