Name: Debapriya Mukherjee
Type: User
Company: State University of New York, Stony Brook
Bio: Graduate Student at SUNY Stony Brook, NY | Pursuing MS in CS, Seeking full-time opportunities from January 2020 | Full-Stack | Backend
Location: Stony Brook, New York
Blog: https://debapriya-m.github.io
Debapriya Mukherjee's Projects
Kaggle Problem Challenge on Housing Prediction
COVID-19 Data Analysis - using Pseudo Distributed Hadoop and Pseudo Distributed Spark
Opioid Pills Analysis using IBM DB2 Database Queries
Open Source, Distributed, RESTful Search Engine
A React Application with REST API calls with Java and Spring Data for adding, updating and deleting employees connected to JPA Repository at the backend for storing data
Estimation of Bill for a Customer in a Shopping Mall implemented in C
This is the code for "Gaussian Mixture Models - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube
An interactive web-based dashboard to analyze the H-1B petition trends over the years using Python3, D3.js and Bootstrap
Data Science - Kaggle Problem Statement
Standard Deviation Calculation from the Employee table in DB2 sample database using JDBC and Stored Procedure
JP Morgan Chase Summer Virtual Experience - Task of Analysis and Visualization of data with JPMorgan Tools using Python
LogRenderingApplication to display log contents through rest call
Perceptron Implementation - implementing Empirical Risk Minimization (ERM) and k-folds cross-validation
A Theme for GitHub Pages
A collection of New Grad full time roles in SWE, Quant, and PM.
Code that'll help you kickstart a personal website that showcases your work as a software developer.
Implementing multiple models that accomplish relation extraction
Implementation of Stony Brook Meta Language (SBML) using Python3 - Lex and Yacc
Probing Sentence Representation for sentiment task, bigram order task and analyzing perturbation response of representation
SML Examples as a part of CSE 307 Course
Spatial queries using IBM DB2 database as part of course - Theory of Database Systems.
Support Vector Machine Implementation - on Breast Cancer Dataset and MNIST Digit Classification Problem
Implementing the Neural Network based Transition Parsing system using Tensorflow
Rendered four iso-surface images and two images with multiple surfaces visible (semi-transparent rendering) using ImageVis3D.
D3-based visual interface for countrywide traffic accident dataset collected for the United States
Improvement on Word Representations using Sentiment Analysis - Implementing Bi-LSTM models for sentiment analysis, improving the accuracy of the word embeddings
Implementing methods to learn word representations building on Skip-grams and applying the learned word representations to a semantic task.
XML, XPath and XQuery examples