Garima Singh
Female
Gurugram, Haryana, India
SDE-1 Amazon
National Institute of Technology - Patna Patna, Bihar
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Level
Novice
Points
180
Contest ratings
0
Problem solved
23
Solutions submitted
99
Education
National Institute of Technology - Patna
Bachelor of Technology (B.Tech.) , computer science and engineering
2018 - 2022
CGPA : 8.95
Work experience
SDE-1
Amazon , Remote
May 2020 - Oct 2020 - (6 months)
Projects
Git Set Go
Aug 2020 - Sep 2020 - (2 months)
A Github Profile Resume Generator

Skills

JavaScript
Jdbc
Logical reasoning
C++
CSS
eclipse
data-structures
Core Java
dynamic programming
functional programming
Inheritance
Basic-programming
classes and objects
object oriented programming (oops)
Publications
Ovarian-Cancer-Subtypes-Identification
10 Nov, 2020
The model used by us is a logistic regression classification model which uses K-means clustering techniques. We have chosen to align with the paper specifications and techniques as closely as possible but changed certain values to improve accuracy score. The multi-omics data of patients are inputted into the Denoising Autoencoder for generating z. With the help of generated z, the patients are clustered using k-means. The optimal number of clusters was determined using silhouette score. In the model, we tested the k from [2, 8] and we finally used k=2 as it had the highest silhouette score. After obtaining the labels clustered by k-means, we built a light-weighted mRNA model for reducing the number of genes needed to identify cancer subtypes by using a logistic regression algorithm.
Publisher: https://github.com/garimasingh128/Ovarian-Cancer-Subtypes-Identification