Collection of projects that I developed during my Masters Degree
Prediction of Yelp Review Star Rating · Sentiment Analysis & Recommendation Model
Implemented topic models using sentiment analysis to predict the review
star rating and built recommendation model using Mahout’s ALS algorithm to
improve suggestions.
Developed scalable web application to market a wide range of tech
products. Programmed features to buy, pay and add new products to the
system.
Implemented supervised classification techniques on Twitter dataset and
clustered redundant/repeated tweets using Jaccard Distance metric and
K-means clustering algorithm.
Developed the famous casino game "Craps" to implement machine learning
strategies to automate your wager and to maximize the profit.
Implemented Naive Bayes, SVM and kNN classifiers across complex
multivariate dataset with 768 instances and 8 attributes by achieving an
accuracy of 75%.
Developed a database for Car Rental System. Programmed PL/SQL stored
procedures to handle features such as update reservations, check
insurance and validate offer codes.
Implemented Hierholzer's algorithm to find an Euler tour in a given
graph.
Advanced Data Structures & Algorithms · Skip List
Implemented the Skip List data structure and compare its
performance with Tree Map data structure.
Implemented Indexed Priority Queues, Prim’s Minimum Spanning Tree
Algorithm, Dijkstra’s Shortest Path Algorithm and compared the
performance of Prim’s MST Algorithm implemented with Priority
Queue and Indexed Heap.
Advanced Data Structures & Algorithms · Critical Paths
Implemented the critical path method (CPM) algorithm in PERT
charts to schedule a set of project activities.
Developed an application that is capable of processing repository of
videos, convert them to searchable hashtags using Optical Character
Recognition (OCR).
This project involves designing of Network Management System (NMS) which
can be used for discovery, configuration, fault reporting, etc.