Software Engineering Developer

Percentage - **.*%

HSC ****-****

SSLC ****-****

GOKILAVANI

SOFTWARE DEVELOPER WITH

PASSION FOR I NNOVATION AND PROBLEM

SOLVING

887*******

************@*****.***

kallal,Sivaganga district-630305

CAREER OBJECTIVE

Fresh talent looking to bring innovative ideas and a strong work ethic to a forward-thinking organization.Dedicated towards work and hard working person .Creative problem-solver seeking a role that combines Software Engineering with business acumen to deliver impactful results

EDUCATION

CGPA - (8.92/10.0)

Shanthi Rani Matric Hr Sec School,Sivaganga

Bachelor of Information Technology 2021-2025

https://github.com/GokilavaniSenthilnathan

VSB college of Engineering,Coimbatore

Shanthi Rani Matric Hr Sec School,Sivaganga

Percentage - 96.4%

MySQL,UI/UX design

Java,Basic Python

Css,Html,Javascript

TECHNICAL SKILLS

Languages -

Web Development -

Tools -

Frameworks - ReactJS Beginner

- Software Engineering Virtual Experience (Oct-Nov 2022)

- Python Course (Jan-Apr 2022)

- Java Programming (May-jul 2023)

CERTIFICATIONS

NPTEL (silver elite) - Internet of Things (Jul-oct 2023) Udemy,Great learning,Coursera,letsupgrade

Alison

Great Learning - Crash course on Datastructure and Algorithm Java (Jul-Aug 2024) Forage

PROJECTS

Employee salary management :

Overview: Developed a comprehensive system for managing employee salaries, includes payroll processing, tax calculation and benefits administration

Skills Developed: Problem Solving, Database Management, System Design, Team Leadership, Work ethics Tools: Front end-Html, css, Backend-Java, Database- MySQL, Framework-React JS Infosys - Artificial Intelligence (Jul-Aug 2024)

Portfolio Website :

Tools: Html,Css,Javascript

INTERNSHIPS

IIT Madras -IOT using Python and Raspberry Pi

Codebind Technology -Web Development

Pantech Learning,Eduprep -Java Programming, Python Basics CODING EXPERIENCE

Hackerrank Leetcode Salesforce

INTEREST

web development

solving problems in hackathon

competitive programming

Credit Card Fraud Detection :

Overview: Developed and tuned a logistic regression based machine learning model achieving an 87% accuracy in predicting credit card fraud.Implemented under sampling and ensembling techniques,leading to 15% Minimized false positives by 16% through hyperparameter tuning process,Successfully mitigated fradulent transaction efficiency by 23% and accuracy by 6%

Overview: Showcasing my skills and unique talents in visual design, UI/UX and front-end development Wipro - Java Full Stack (Sep-Oct 2024)

http://www.linkedin.com/in/gokilavani-s-

a89378250

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