Name: Rushabh Kapadia
Type: User
Company: University of Southern California
Bio: Hey, I'm a Techie who loves to ideate, innovate and develop solutions. I focus on problem solving & perfection. Feel free to get in touch for collaborations.
Location: Los Angeles, USA
Blog: https://www.linkedin.com/in/rushabh-kapadia-02
Rushabh Kapadia's Projects
My coursework for Homework 9 of CSCI-571
A complete computer science study plan to become a software engineer.
This repository contains coding interviews that I have encountered in company interviews
Zip files of all my mini-projects as part of the coursework of CSCI-571: Mobile and Web Technologies
Contains my work for CSCI-561 (Artificial Intelligence) course assignments during fall 2019 at University of Southern California
Publishing my work for assignment 2 of CSCI-561
Publishing my work for assignment 3 of CSCI-561 under Prof. Laurent Itti
Ebay Catalog App for CSCI-571 Summer 2020. Developed this app as a comprehensive assignment
Mini Project
A Convolutional Neural Network for image classification of cells whether they are Malaria infected or not.
My Course work for CSCI-571 Homework 8
We developed a dynamic Bus scheduling and Allocation system in collaboration with public transit service BEST operating in Mumbai, India. The given system provides three different methods for forecasting bus schedules for the next week (ARIMAX, SARIMAX, LSTM RNNs) and results in automation of services with better utilization of buses across Mumbai. The product has been developed after discussions with the public bus transport service in Mumbai, India. The system takes spreadsheet files containing all the data related to daily bus operations and generates forecasts for number of trips required on each route and per hour. Using these forecasts, we generate Bus Timetables and schedules with maximal reuse and minimal waiting time for passengers. The technologies used are python for business logic and back-end framework while PyQt framework was used for developing the GUI. Libraries used are Keras, Pandas and Statsmodel for developing the LSTM RNNs and statistical models (ARIMAX and SARIMAX) respectively.
💯 Materials to help you rock your next coding interview
Training projects