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I'm

Pratyush Ranjan

Web Backend Developer, Machine Learning, Data Analytics, Big Data, Blockchain Enthusiast
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Learn About Me

I am a third year student at IIITB. My interests lie in the field of Machine Learning, Big Data and using Machine Learning in the fields of astronomy, particle-physics, and neuroscience. I have experience of creating backend solutions through REST APIs. I have also worked on native Android development. I've also been learning about Blockchain technology and have also developed a currency on top of it.

Machine Learning

Data Analytics

App Development

Web Development

Blockchain Development

What I do

My Interest Areas

Machine Learning

Data Analytics

Blockchain Development

Web Development

Android Development

iOS Development

My Resume

Projects Made

Feb 2022 - current

Song Plagiarism Detector

Natural Language Processing

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Extracting various features from a music record like frequency components (using STFT), zero-crossing-rate, spectral centroid, spectral rolloff and chroma frequencies. Using these features to create a vector for a time-window, just like word embeddings for texts. Using these feature-vectors to train an LSTM to fingerprint every music from the database. Also using CNNs on spectrogram images for fingerprinting. Employing data augmentation techniques to match two similar music that are not aligned with time.

Oct 2021 - Dec 2021

Computer Malware Detection

Kaggle Leaderboard

Team name: Byzantine
Big Data computer malware detection task. Used Apache Spark for preprocessing. Various big data techniques used to train on the big data including Incremental Learning. Ranked the best model among 22 teams. The notebooks used have been made public and can be viewed in the code section of the competition. Filter by best score.

Dec 2021

Signal Process Identificaiton

View on Github

Demonstrating how parameterised Neural Networks are successful in detecting signal process for parameters on which it was not trained. Used publicly available high-energy collision data.

July 2021

REST API For a Food Application

View on Github

A Rest-API framework for a food-ordering app with all the general features such as authentiation tokens, admin, users, ratings, password encryption, etc

May 2021

Covid-19 Vaccine Slot Alert

View on Github

A python script that checks for vaccine slot availability every 3 mins at the provided pincodes and alerts the user through an SMS to the provided mobile number if slot/s are found.

August 2021

Blockchain based on Proof Of Work Model

View on Github

A blockchain and a currency build on top of it, having features such as mining, providing rewards for miners, wallets, adjustment of diffuculty levels for generating hashes for blocks, signatures for individual wallets, etc.

June 2021

Weather forecast web-application

View on Github

A web application for weather forecasts made using NodeJS, MongoDB as backend technologies.

January 2021

Foody Cook Book Android App

View on Github

Android food recipe app

Experience

Research Student at Web Science Lab, IIITB

Jan 2022 - current

Analysing conflicting EEG data

Using signal processing and data analytics techniques to examine EEG data. The objective is to find patterns that correspond to the person experiencing conflict while learning.
Working under Prof. Srinath Srinivasa (Dean R&D), IIITB.