Aishwarya Karad

• High Energy student currently anticipating Masters Degree by May 2021 and prepared to Contribute abilities to role in the vibrant silicon Industry to contribute software skillset to face challenging real world experience. Highly Organized responsible and well versed with Cognitive SPSS software and the skillset mentioned . Positive Person with brilliant Leadership , communication and critical thinking skills .
• Handled various IT projects in Group with flexible work environment leverages with today's future skills disruptive technology trends .
• Smart Professional with highly qualified in Engineering and Management Skills with ability to lead talented teams .Experienced in Highly reputed organization as a intern and has excellent reputation in problem solving .
• Enthusiastic learner eagar to contribute to team success through handwork , excellent organization skills with clear understanding wish grow in robust silicon industry .

OCR to read credit/debit card details to autofill forms on payment portals- IJRESM Vol 2 Issue 4- April,2019 ISSN (Online): 2581-5792

Accelarassors team

repairo

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grant u can put here

1. Online Transaction Validation

• Designed and implemented an OCR module to read details from a credit card image.
• Collected and cleaned a dataset of human facial images.
• Designed and developed a Siamese network for facial recognition to authenticate online transactions

2. Heart Disease Prediction

• Performed several preprocessing operations like data cleaning and data transformation.
• Applied different models like Decision trees, Naive Bayes model and Logistic Regression to find a relationship between the independent and dependent variables and comparing accuracies of the different models.

3.Android App Development

• Designed and developed UI of the application.
• Created a database using firebase.
• Integrated the database with application.

4.Mobile Privacy Invasion detection

• Analyzed the security of 25 APKs using VMs to perform taint analysis and determine if there is any leakage of sensitive information Network simulation for analysis of network traffic
• Implemented using NS3 to measure performance of packets.

5. Parallel Radix Sort

• Developed a parallelized radix sort implementation using multithreading in C++ using OpenMP library Peer to Peer Network for filesharing with distributed indexing
• Managed a team of 5 to build a peer to peer network with aquic library and concepts of socket programming in python for distributed indexing of files
• Tested the performance of both and prepared a report to compare the performance for both Linear

6.Numerical Analysis Projects:

• Apply concepts of linear numerical analysis to understand algorithmic behaviors and applicability of GMRES,
• Rayleigh iterations, Newton’s method, Secant, Chord and Eigenvalue methods along with Gaussian elimination and SVD Packet Sniffer
• Developed an algorithm to sniff packets on raw sockets and identify which protocol these packets follow and reported these with graphs generated using
• Network simulation for analysis of network traffic
• Implemented using NS3 to measure performance of packets.

7.Parallel Radix Sort

• Developed a parallelized radix sort implementation using multithreading in C++ using OpenMP library

8. Peer to Peer Network for filesharing with distributed indexing

• Managed a team of 5 to build a peer to peer network with aquic library and concepts of socket programming in python for distributed indexing of files
• Tested the performance of both and prepared a report to compare the performance for both

9. Linear Numerical Analysis Projects:

• Apply concepts of linear numerical analysis to understand algorithmic behaviors and applicability of GMRES, Rayleigh iterations, Newton’s method, Secant, Chord and Eigenvalue methods along with Gaussian elimination and SVD

10. Packet Sniffer:

• Developed an algorithm to sniff packets on raw sockets and identify which protocol these packets follow and reported these with graphs generated using MATLAB.

11. Network Audit:

• Helped identify passive vulnerabilities in the NCSU network with the censys.io database

12. Convolution using CUDA: •

• Helped to develop an algorithm on CUDA for massive parallelization of convolution operation on GTX 1050, i7 7700 4-core processor.7700 4-core processor. 7700 4-core processor.

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