namanlab,Naman Agrawal,github

👨🏻‍💻 About Me:

👋 Hi there! I'm Naman, a fourth-year undergraduate student at the National University of Singapore.

🔍 I'm pursuing double degress in Data Science and Analytics, and Economics, with minor in Computer Science.

🚀 My technical skillset includes Python, R, Java, and more, and I'm passionate about using these tools in Audio Signal Processing, Computer Vision, and Econometric Modelling to develop novel insights.

🌱 Currently, I'm working on building my expertise in the field of Artifical Intelligence and Statistical Theory as well as expanding my knowledge of advanced algorithms and data structures.

📄 Please check out my Resume for more information about my experience and skills.

🤝 I'm always open to new opportunities and collaborations, so feel free to reach out to me!

Reach out to me 📫

Naman Agrawal's Projects

bank-note-authentication-models

Used the Bank Note Authentication UCI data set to build models for identifying fake banknotes. Applied supervised classification and deep learning algorithms for building the models. Achieved an accuracy of 99% by creating an Artificial Neural Network (ANN) of 2 hidden layers with 6 neurons each (ReLU activation function, Adam optimizer).

complexpytorch_urops

A high-level toolbox for using complex valued neural networks in PyTorch

detection-of-phishing-websites

The data set on Phishing Websites, available in The UCI Machine Learning Repository is used to develop an algorithm, that can predict whether a given website is phishing or legitimate.

diabetes-prediction-models

Used the Pima Indian Diabetes data set to build models for predicting Diabetes. Applied supervised, unsupervised and deep learning algorithms for building the models. Also explored the possibility of using Principal Component Analysis for dimension reduction. Achieved an accuracy of 82% and an F1 score of 75% by tuning the hyperparameters of an Artificial Neural Network (ANN).

dsa2102-numerical-computation-codes

This repository contains my R code files for implementation of various Numerical Computational Algorithms.

dsa3102-convex-optimisation-implementations

This repository contains R and MATLAB codes for implementation of numerical algorithms for convex optimisation. (DSA3102, NUS)

firsttheeconometrist-01

My First Attempt at Making a GitHub Repo

generative_ai_bitgrit

This repository contains three models for identifying fake photos created by AI.

movie-recommendation-system

The 10M version of the MovieLens data set generated by the GroupLens Research Lab is used to develop various models for a Movie Recommendation System.