Education & Work Experience
Education
B.S Computer Science
2018 - 2022
The City College of New York
GPA: 3.79/4.00
Work Experience
Data Science Intern
Feb 2022 - Jun 2022
NYC Department of Buildings, New York, NY
- Designed & created supervised machine learning models for Analytics & Data Science Unit
- Used historical public data involving construction injuries to predict high-risk buildings in New York City
- Implemented concepts such as hyperparameter tuning, upsampling, training, validating, and testing to identify the best classification algorithm in order to pick the most appropriate parameters
- Developed several supervised machine learning models including Gradient Boosting Classifier, Logistic Regression, Neural Networks, K-Nearest Neighbors, and Support Vector Machine
Software Engineer Intern
Jun 2021 - Aug 2021
Fujitsu Network Communications, Richardson, TX
- Designed & developed a cloud-based Web Application for the Software Business Unit (SWBU) Team
- App provides a platform for Fujitsu’s customers to generate XML, JSON & XLSX files needed by VPD (Virtuora Planning & Design)
- My internship project generated $100,000 in revenue after it was sold to AT&T by Fujitsu
- Web platform provides a user-friendly interface to build and download XML, JSON & XLSX files simultaneously
Software Engineering Intern
Feb 2020 - May 2021
WebMD, New York, NY
- Developed and contributed to numerous Full-Stack Web Applications for WebMD Platform (Consumer Runtime) Team
- Designed and implemented Page Performance Testing Dashboard for streamlining test creation and test-tracking
- The Dashboard provides for the approval of the tests for stakeholders before it gets deployed to the production
- It improves developers' efficiency by eliminating the manual steps and automating the route creation and route validation
Software Engineering Intern
Jun 2019 - Aug 2019
ASML, Wilton, CT
- Delivered two automation tools to Reticle Stage SDEV Team
- Automated the process of generating compatibility agreements by developing a Linux application using Python
- Linux tool reduces task duration from 8 hours (manual task previously) to 10 seconds
- The tool eliminates human errors and enables architects to generate compatibility agreements more frequently