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.
· 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.