Heart Disease Prediction

Developed, trained, and deployed a Heart Disease Prediction model using a variety of machine learning techniques. The project showcases proficiency in data preprocessing, feature engineering, model selection, and web-based deployment using Django. The ensemble approach enhances prediction.

T20 World Cup Cricket Analysis

The goal of this project is to analyse cricket data and create a POWER BI dashboard where we can visualize perfromance of each player which will help in creating a playing 11.

Hospitality Analysis

AtliQ Grands are losing its market share and revenue in the luxury/business hotels category.AtliQ Grands wanted to incorporate “Business and Data Intelligence” to regain their market share and revenue.So, i've analysed and created a summarized dashboard to get some solutions.

Play Generator (RNN)

Crafted a machine learning model focusing on Shakespeare play generation using a Recurrent Neural Network (RNN). Leveraging advanced techniques, I successfully trained the model to generate coherent and contextually relevant text, showcasing a creative fusion of language and technology.

Natural Language Processing (NLP)

Employed techniques to preprocess text data. Leveraging Tokenization, Stemming, and Lemmatization optimized linguistic analysis. Implementing Bag of Words and TF-IDF models facilitated feature extraction, while Word2Vec embeddings enhanced semantic understanding, improved model's efficiency.

Neural Network From Scratch

Crafted a neural network from the ground up, implementing essential components like dense layers, activation functions(ReLU, Softmax), and categorical cross-entropy loss. This hands-on endeavor delved into the core concepts of deep learning, fundamental understanding of neural network architecture.

Spotify Music Recommendation using ANNOY

I leveraged the ANNOY library, utilizing a prebuilt model, to train on a custom dataset. The ANNOY model efficiently identified the top 10 nearest neighbors, enhancing music recommendations. Additionally, IBM Code Model Asset Exchange played a crucial role in creating embeddings.

Cab Drivers Rental

Developed a robust REST API for Cab Drivers rental using Node.js and Express.js, performing CRUD of blog posts. Utilized Postman for efficient testing and validation of API endpoints, ensuring optimal functionality and reliability

Django REST API

Developed Django REST API with serializers, pagination, CRUD, validation, and authentication for robust data management and secure access control.