• Built multiple features to enhance user experience and add integrate new

business logic, using JavaScript/jQuery,CSS3,HTML5, Thymeleaf, and Java8.

• Managed an automated testing team of six to create test suites with Selenium

or Apache-Avro Framework to identify and resolve performance issues or bugs.

• Added several enhancements and bug fixes to an enterprise designing tool used to

create and design train yard schematics.

• Working closely with an iOS Lead to create an iOS mobile app for Signal Crew to be able to perform actions - such as toggling devices, lining routes - on trains associated with a yard.

Assisted students one-on-one and taught course concepts and effective study habits to those

seeking help in Calculus I/II, Linear Algebra, Discrete Mathematics and Principles of Statistics.

• Developed a predictive analytics model that identifies the presence of a defect on an alarming

equipment component on a train car, by leveraging tools such as Teradata SQL Assistant, Trifacta

Data Wrangler, Azure Machine Learning Studio and H20 Driveless AI.

• Applied a Two-Class Decision Boosted Tree Algorithm to train the model on an alarm

measurements dataset and achieved 61.9% accuracy in defect prediction tasks.

• Created a ‘Performance Metrics’ Dashboard with Tableau Visualization software after analyzing relations among three data sources in the production environment and modifying SQL queries. The dashboard allows users on the Pricing Solutions team to easily view successes, failures, and sync back timings each morning.

• Designed a RailCars App with Unity and Adobe Experience Design. The app makes it easier for customers to release, ship, order or track various types of cars while at their yards.