Supervised Learning (Regression, Classification) | Machine Learning Engineer | 01/2023, 05/2023
Implemented machine learning systems focused on prediction based on multiple independent factors. Developed pricing model that can predict rent for an accommodation and help hosts, travelers, and businesses devise profitable strategies using Python, Scikit-learn and Linear Regression. Architected machine learning model to help marketing department to identify potential customers who have a higher probability of purchasing loans utilizing Python, Scikit-learn, and Logistic Regression.
Dependency Based Remote Code Repository (C++, Visual Studio) | 11/2018, 05/2019
Code Repository that supports package check-in by tracking dependency relationships. Developed Code Repository that stores files in folders based on package name and check-in date; supports extraction of all files with/without dependencies. Followed Object-Oriented Design in C++ for programming and utilized WPF and managed C++ for building graphical user interfaces (GUIs).
NeaRestaurants | Mobile Software Engineer, 03/2018, 07/2018
Mobile app that helps users find nearby restaurants and navigates users to their location. Leveraged Google Places API to collect information such as photos, opening hours, phone number, menu, special offers and location of the restaurants. Efficiently handled asynchrony problems using multi-threading to improve performance of mobile applications in Java, Executor Service, and Collectable Future.