Sentiment Analyser for Stock Prediction

Publication (IEEE Big Data 18')

Developed a sentiment analyser to predict stock prices based on whether a news article is positive or negative for the company. [Python]

Stock Prediction using LSTM

Publication (IEEE Big Data 18')

Developed a machine learning algorithm (LSTM RNN) to predict daily, weekly and bimonthly prices of BSE SENSEX. [Keras + TensorFlow]

Supervised Learning | Queen's University

Poker using Model Driven Engineering

Developed Texas Hold 'em Poker Game using modelling environment - Papyrus-RT. [C++]

Digit Recognizer

Developed a digit recognizer to classify digits from 0-9 using softmax regression. [Python + TensorFlow]

Static Code Analyser for security vulnerabilities

Developed a static code analyzer to detect security vulnerabilities for C++ code files. [C#]

Data cleansing and tagging

Performed data cleaning to fix inaccurate records and tagging using Python for a real estate based company's DB. Additionally also worked on optimizing SQL queries to make existing functions faster.

App Automation using Java and Appium

Developed scripts for automating a chat app to:

• Take periodic backups
• Send emails of chat history
• Broadcast messages & send messages dynamically to targeted chats.

App for Placement Committee

Built an android app for the college placement committee in a bid to increase the communication between students, faculty and the placement cell and make the life of the placement team easier by automating some important tasks.

Portfolio Manager

Successfully managed a portfolio for a small closed group and generated compounded returns > 13% consistently for a period of 3 years.

A Review and Taxonomy of Prediction Techniques

Journal Publication (IJFS May 19')

Published a survey paper on reviewing machine learning based stock market prediction techniques and it's evolution.