Designed and prototyped automated machine learning pipelines to deploy and serve analytics models to optimize supply

chain inventory recommendations

• Redesigned and built a persistence and event-based C# web service that would calculate inventory recommendations and

sales projections

• Productionized a Java microservice to harness Azure cloud infrastructure to reduce strain on end-user hardware and

optimize real-time workflows

• Maintained a Java microservice used to retrieve and store aggregated inventory data in MongoDB

• Iterated on an AngularJS-based UI to trigger certain applications for administrators

• Participated in multiple in-house hackathons, quickly building micro-applications to solve technical challenges

• Used Sci-Kit Learn to build a supervised learning model that takes employment data and predict key languages, skills, etc. to be used in a next employment.

• Retrieved data from RESTful API services to use for data visualization and exploration