Parsa Ghavampour

Support data-driven decisions for quality improvement Developed new data-based methods to support quality work in a big data analysis • Developed data analysis dashboards on Palantir software using JavaScript, CSS, and HTML Responsible for opening up new data sources and structuring the data • Creating data pipelines using python scripts executed by docker images. • Data cleaning, preprocessing, transformation, and standardization

Migrated the company website and customer portal from Microsoft .NET MVC to a single-page web application using Microsoft Web API and JavaScript framework ReactJS.

Designed and Implemented reporting software for time-series analysis and visualization using PHP Laravel and JavaScript angularJS. • Implemented automated statistical analysis • Developed graphic visualization concepts to map and simplify the analysis of numeric data and reports I was in charge of the full project life cycle from design to implementation. This project was announced by OPEC in media and petroleum exhibitions

Worked in a small team to design and implement a Departure Control System (DCS) to automate all processes related to airline management operations. Collaborated closely with the product manager, representing the web team to establish project goals, projections, and milestones. The software was developed using Microsoft .Net technologies and angularJS.

The master's program is designed at the intersection of the fields of data analytics and decision science (Operations Research). Course materials are towards combining machine learning and deep learning techniques with mathematical optimization approaches, heuristic algorithms, and simulation techniques to create value in specific application areas such as supply chain management and logistics.