Neha S H

Surabhi nagar,

J P nagar *Th phase,

Bengaluru -78

Email: - admnye@r.postjobfree.com

Mobile: - +91-813*******

JOB OBJECTIVE:

A position as a Software Engineer where I can use my potential to achieve organizational goals through persistent learning & development of vocational and analytical skills.

EDUCATIONAL QUALIFICATION:

Bachelor of Engineering (BE – CS) from VT University, Belgaum in 2020 with 6.4 CGPA

12th (PUC) from Vivekananda P U college, Puttur with 74.3%

10th from SNHS, Perla with 91.1%

TECHNICAL EFFICIENCY:

Operating System

:

Windows Series, Redhat Linux, Fedora.

Languages

Skills

:

:

Java, C, Basic Python.

Machine Learning.

DBMS

:

Oracle, SQL Plus.

ACADEMIC PROJECT:

1. Early Detection of Brain Tumor Using CNN

Overview:

Brain tumor is one of the most dreadful natures of cancer and caused a huge number of deaths among kids and adults from the past few years. According to WHO standard, the 700,000 humans are being with a brain tumor and around 86,000 are diagnosed since 2019. While the total number of deaths due to brain tumors is 16,830 since 2019 and the average survival rate is 35%. Therefore, automated techniques are needed to grade brain tumors precisely from MRI scans. In this work, a new deep learning based method is proposed for microscopic brain tumor detection and tumor type classification. A convolutional neural network (CNN) architecture is designed at the first step to extract brain tumor and extracted tumors are passed to a pretrained CNN model for feature extraction. The extracted features are transferred to the correlation based selection method and as the output, the best features are selected.

INTERNSHIP

1.Patient Appointment Prediction - Datalore labs, Bangalore

Predicts patients show / no show on the appointment date. This prediction is calculated after collecting the necessary details form the patience and applying Machine Learning algorithms.

Role:

-Collecting Patients data set.

-Apply Algorithm using Python.

-Report on show/no-show

COMPETENCIES

Interpersonal effectiveness & ability to influence.

Drive for result.

Analytical thinking.

Team effectiveness and Knowledge Sharing.

STRENGTHS & HOBBIES

Quick learner, honesty & hard-working.

Singing, listening to music & watching movies

Playing cricket, Table Tennis.

PERSONAL PROFILES :

Name : Neha S H

Date of Birth : 18th Nov 1997

Nationality : Indian

Gender : Female

Language Known : English, Hindi, Kannada and Tulu

DECLARATION:

I do hereby declare that all the above statements made are true to best of my knowledge and belief.

Place: Bangalore

Date:

(Signature)

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