Data Structures
Worked with Stacks,Queues, Linked Lists and different searching and sorting algorithms
I am currently pursuing my Masters in Artificial Intelligence at Northwestern University. My coursework includes the implementation of Artificial Intelligence and Machine Learning to the real-world problems. Also, I have a few months of work-experience with Amazon where my key responsibilities were to help customers use AWS services such as Lambda, API Gateway, Amplify, AppSync, SNS and Connect. I have also interned with Euprime,Bangalore-also known as Tech Hub of India. In Euprime, I have built machine learning models based on inbuilt algorithms to provide healthcare solutions. Lead a team of 4 people to develop machine learning models for Healthcare problems like heart rate and blood pressure by analyzing the facial features of 0.7 Million health records.
I also own a startup “Junior Master” a platform to introduce students to python, machine learning and artificial intelligence at an early age.
My goal after a full-filled education, is to contribute in the sectors of applied artificial intelligence towards betterment of humankind. I would like to continue my work towards early detection of mental health issues, converting manual labour into learning opportunities and propagating my venture Junior Master, to provide undeniable and accessible education to underprivileged children in the realms of technology, to help them usher into a significantly new age era!
Worked with Stacks,Queues, Linked Lists and different searching and sorting algorithms
Github Portfolio made using HTML, CSS and Javascipt.
Developed an American Sign Language translator with an accuracy of 96% using several ML algorithms such as Neural Network, Random Forest, KNN, SVM, Logistic Regression, and Naive Bayes on the Leap Motion Controller ASL dataset which convert hand gestures to spoken English Language.
Developed a Sentiment Analysis for Detecting Depression in Twitter Tweets using Bayes Theorem. Used the web-scraping tool Twint and achieved an accuracy of 86%.
Partnered with the Invisible Institute to glean insights from Chicago Police Department data. Implemented PostgreSQL for database management, Trifacta for data integration/cleaning, Tableau and D3.js for visualisations, Scikit-Learn for logistic regression and NLTK for NLP sentiment analysis on the summaries of complaint reports and Tactical Response Report.
This project was made using MNIST datasets. Applied the concept of Convolutional Neural Networks. Built GUI to draw the digit and recognize it. Constructed with Deep Learning concepts using Python programming and Keras Library
Developed an attendance system which utilizes facial recognition to mark the presence of students. Built a linear SVM Classifier using OpenCV, face-recognition and Django to achieve an accuracy of 82%.
This project includes the website design of my own start-up Junior Master, an ed-tech to introduce python, machine-learning and artificial intelligence to young kids.
A diagnostic management project developed in Django with functions for admin to add doctors, add service. Users can see doctors' profiles and make appointments. Made using python programming.
Online Banking System is an electronic payment system. A java-based project, having designed backend programming using JDBC and servlets. The frontend was made using HTML, CSS and Bootstrap