I'm a Student and Data Science Enthusiast with a strong passion for leveraging data-driven insights to solve complex problems and make better decisions. I have experience working with various data analysis tools and machine learning and deep learning algorithms, and I'm always eager to learn more about new methodologies, technologies, and best practices in the field. I love collaborating with like-minded individuals, contributing to open-source projects, and sharing my knowledge with the community.
- 🎓 Bachelor of Science in Mathematics, St. Xavier's College (Autonomous)
- 🎓 Master of Science in Data Science, Chennai Mathematical Institute
- Text Generation using LSTM: This project presents a text generation model using a bidirectional LSTM (Long Short-Term Memory) with encoder-decoder layers. The model is trained on COVID-19 research corpus, and its purpose is to generate abstracts from the corpus.
- Human Action Recognition: In this project, I have performed image classification of human actions using CNNs and improved the accuracy of our model using Transfer Learning.
- Stock Price Prediction: In this project, I have performed stock price prediction of four stocks using RNNs & LSTM.
- Fake News Detection: In this project, I have performed fake news detection using LSTM and achieved over 99% accuracy.
- SparsePCA.jl: SparsePCA.jl is a Julia package that provides an implementation of the sparse principal component analysis (SparsePCA) algorithm.
- Overhead MNIST: This project uses the OverheadMNIST dataset to explore semi-supervised learning, combining unsupervised and supervised techniques.
- Footwear Classification: In this project, I have performed image classification of footwear using a multilayer perceptron model.
- Credit Card Customers: Visualization of Credit Card user base using R, Ggplot2 and others packages to find trends and patterns in credit cards user-base.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent