Hi I'm

Priyanka Gandhi S

Welcome to my portfolio!
I am an ambitious Full-Stack Developer with a passion for building dynamic, user-centric applications and innovative solutions. With a solid foundation in both frontend and backend development, I thrive in creating seamless digital experiences that merge functionality with exceptional design.

About Me

I am a final-year Computer Science Engineering student with a strong foundation in software development. I am proficient in Java, C, Python, and skilled in web development. I have hands-on experience in Database Management.
As a developer, I value clean, efficient code and collaborative development methodologies like Agile and Waterfall. I believe in continuous learning and improvement, and I strive to stay updated with the latest technologies and trends in software development.
Whether it's working on a team or independently, I am always eager to tackle new challenges and contribute to impactful projects. I actively seek out opportunities to expand my knowledge and skills.

Name:Priyanka gandhi S
Batch:2021-2025
From:India
Degree:B.E(pursuing),B.A Hindi
Availabiltiy:Fulltime

Education

B.E CSE-86%

CK College of Engineering and Technology

2021-2025

HSC-90%

St Anne's Girls Hr Sec School

2020-2021

SSLC-91%

St Anne's Girls Hr Sec School

2018-2019

Internship

PHP WEB-DEVELOPER

Syscorp Private Limited Technology

JUNE-2023

I built and deployed dynamic web applications, integrated databases using MySQL, and worked with HTML, CSS, JavaScript, and PHP for backend development.

MACHINE LEARNING DEVELOPER

JP InfoTech Private limited Company

July-2024

developed and optimized models using Python, scikit-learn, and PyTorch, applied NLP techniques, and worked on real-time data for predictive analysis, model evaluation, and deployment.

My Projects

Discover my projects, where creativity meets innovation

Eye-Controllable Personal Computer

This is software developed using Python to enable physically challenged individuals to engage with real-time technology by controlling the computer using their eyes.

SheShield

This software, developed using Java, enhances the Kavalan App for female safety and includes various new features specifically designed to support and protect women.

Big Mart Sales Prediction

Developed a sales prediction model using Random Forest and XGBoost, and successfully integrated it into the frontend with Flask to enable real-time sales predictions.

Obesity Prediction

Developed an obesity prediction model using Stacking and XGBoost, integrating it into a user-friendly interface with Flask to facilitate real-time predictions based on various health metrics.

Diabetes Prediction

Developed a diabetes prediction model using Extra Trees and Stacking Classifier, integrating it into a responsive frontend with Flask to provide real-time predictions based on user input and health data.

Fake Job Prediction

Developed a fake job prediction model using Machine Learning algorithms, including Random Forest and Decision Tree, and integrated it into a user-friendly interface with Flask to enable real-time identification of potentially fraudulent job listings.