Ahsan Fayyaz

Software Engineer | NYC

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