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cloud-based-hadoop-cluster

Configured and set up Hadoop clusters withone master/secondary nameand three data nodes on Amazon EC2 instances. Designed various Hadoop map-reduce jobs to analyze the Historical Weather Data. Technologies Used: Java, Apache Hadoop, AWS

data-mining-and-visualization-of-texas-census-data

Designed a simple web interface to explore Texas census data in various user configurable ways using Amazon EC2, analysis was performed using KMeans clustering and results were represented with scatter, bar graphs. The same application was also implemented using Python Flask micro-framework on Google Compute Engine. Technologies used: R, Python Flask, AWS, Google App Engine

data-retrieval-on-aws

Developed a simple web application to store and query earthquake data from US. Geological Survey. This application was implemented on Amazon Web Services, using Amazon EC2, RDS, & S3. Furthermore, the application was extended to implement in memory caching using both Amazon MemCached & Redis. Technologies used: Python Flask, MySQL, AWS

demo

encrypted-cloud-storage-ibm-bluemix

Developed a web interface to allow registered users to upload, download and retrieve password protected files from IBM BlueMix cloud storage buckets. Stored the information in ClearDB, used MD5 hashes for version management and employed AES encryption for password protection. Technologies used: Python Flask, MySQL, IBM BlueMix

fuzzy-matcher

A Java library to determine probability of objects being similar.

k-cfv-in-r

Developed a simple social website on Google App Engine which allowed registered users to upload and manage their photos, to interact with other users by looking them up and posting comments on their photos. MongoDB was used for storing photos and MemCached for in-memory caching of frequently accessed photos. Created Apache JMeter tests to stress test the application, and analyze and demonstrate the auto scaling capabilities of Google App Engine. Technologies used: Python Flask, MongoDB, Google App Engine, Apache JMeter

k-nn-algorithm

Developed a simple social website on Google App Engine which allowed registered users to upload and manage their photos, to interact with other users by looking them up and posting comments on their photos. MongoDB was used for storing photos and MemCached for in-memory caching of frequently accessed photos. Created Apache JMeter tests to stress test the application, and analyze and demonstrate the auto scaling capabilities of Google App Engine. Technologies used: Python Flask, MongoDB, Google App Engine, Apache JMeter

mavappoint

Designed and developed a web application to schedule and maintain advising appointments using MVC architecture. Implemented suitable software design patterns which included Singleton, Bridge, Command, Proxy Command, Template Method; to make the software flexible & robust. Technologies used: Java, JSP-Servlets, MySQL

naive-bayes-v-s-k-nn

Modified and implemented k-NN and Naive Bayes algorithms for the machine learning tasks of classification and regression on numerical datasets. Compared and analyzed the outcome of the results and reprsented them in the form of graphs. Technologies used: Python Flask, AWS

photo-sharing-network-on-google-app-engine

Developed a simple social website on Google App Engine which allowed registered users to upload and manage their photos, to interact with other users by looking them up and posting comments on their photos. MongoDB was used for storing photos and MemCached for in-memory caching of frequently accessed photos. Created Apache JMeter tests to stress test the application, and analyze and demonstrate the auto scaling capabilities of Google App Engine. Technologies used: Python Flask, MongoDB, Google App Engine, Apache JMeter

photo-sharing-network-on-microsoft-azure

Developed a simple social photo sharing website on Microsoft Aure which allowed registered users to upload and manage their photos, to interact with other users by looking them up and posting comments on their photos. MongoDB was used for storing photos and MemCached for in-memory caching of frequently accessed photos. Created Apache JMeter tests to stress test the application, and analyze and demonstrate the auto scaling capabilities of Microsoft Aure. Technologies used: Python Flask, MongoDB, Microsoft Aure, Apache JMeter