Varsha Kalagani

Interests

Things I Love

Developing

Coding is where I bring designs to life, turning concepts into digital experiences. Each line of code reflects my vision for functionality and elegance, showcasing my commitment to excellence.

Expanding

Enhancing and scaling machine learning models by incorporating new features and data to improve accuracy and performance.

But who am I?

About Me

My store in a nutshell ;)

I am Varsha Kalagani, a dedicated Bachelor of Technology student specializing in Computer Science and Engineering with a focus on Machine Learning, currently studying at Vignan’s Institute of Engineering for Women. With a strong academic foundation and a GPA of 8.7, I am passionate about applying my skills to real-world challenges.

I have hands-on experience with various machine learning techniques, including supervised and unsupervised learning, neural networks, and natural language processing. My technical expertise spans programming languages like Python and C++, and I am proficient with frameworks and libraries such as TensorFlow, Keras, and PyTorch.

My practical experience includes developing a Convolutional Neural Network for image classification and creating a responsive personal portfolio website. I am also skilled in web technologies, database management, and version control tools. As an active member of the Coding Club and a volunteer focusing on ethical hacking, I continuously seek to expand my knowledge and skills.

I am eager to contribute to a dynamic team where I can leverage my technical abilities and problem-solving skills to make a meaningful impact.

What do I know?

Skills

Here are some of the technologies that are part of my current stack:

HTML

CSS

JavaScript

Bootstrap

Python

SQL

Machine Learning

What I uses?

Tools

Tech stack known? Here are tools that I runs:

VSCode

Github

Jupyter Notebook

ChatGPT

Adobe Photoshop

What I've done?

Projects

Image Classification using CNN

TensorFlow | Keras

Visit

Developed a CNN model to classify images from the CIFAR-10 dataset. Applied engineering principles to design the CNN architecture using TensorFlow and Keras. Incorporated data augmentation techniques to improve model accuracy. Evaluated model performance and optimized hyperparameters for better results.

I'm Varsha kalagani