Developed continuous integration and delivery pipeline on IBM Cloud using Vagrant, Docker, Github, Zenhub, and TravisCI.
Implemented test and behavior driven development using Nosetests, Codecov, and Behave to facilitate automated testing.
Maintained product backlog, user stories, sprint meetings and release schedules.
Using Hadoop, Hive and NYU cloud, analyzed the relationship between consumer restaurant choice and income level by zip code.
This project is a first try at investigating the relationship between consumer restaurant choice and income level by zipcode. We posit that if a restaurant choice of consumer is related with income, we can predict consumer’s eat out patterns based on the consumer’s income level. Analyzing two datasets the Yelp business data with restaurant type and associated Yelp rating, and household income organized by zipcode, we find a positive correlation between certain types of food with income levels.
Using Spark and NYU cloud, estimated travel time to NYC from New Jersey area by analyzing and examining NJ transit bus trip data and historical weather data. .
Developed a website which gives estimated travel time from selected bus station to the NYC Port Authority bus terminal.
Using Java 8, Implemented a distributed database with multiversion concurrency control, deadlock avoidance, replication, and failure recovery.
Windows desktop sticky notes application
With Sticky Notes, you can create notes, add text, stick them to the desktop, move them around there freely, close them.